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Peter Wung Lee

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Engineering and Technology 32 9610 2730 91 3490

Peter Wung Lee publications per year

The chart shows the history of publications by Peter Wung Lee between 1996 and 2013, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Wung Lee published across 18 years, from 1996 to 2013, averaging 5.3 papers a year. Output peaked at 13 publications in 2011. 10 of the 95 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1996 to 2013. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2011. 1996: 7 publications 1997: 10 publications 1998: 5 publications 1999: 6 publications 2000: 4 publications 2001: 3 publications 2002: 5 publications 2003: 4 publications 2004: 2 publications 2005: 0 publications 2006: 2 publications 2007: 0 publications 2008: 3 publications 2009: 12 publications 2010: 9 publications 2011: 13 publications 2012: 4 publications 2013: 6 publications
1996 2013

95 publications in total across all disciplines

View publications per year as a table
Peter Wung Lee: publications per year, 1996 to 2013
Year Publications
1996 7
1997 10
1998 5
1999 6
2000 4
2001 3
2002 5
2003 4
2004 2
2005 0
2006 2
2007 0
2008 3
2009 12
2010 9
2011 13
2012 4
2013 6
Total 95
Download as CSV

Peter Wung Lee publications per year - data summary

  • Peter Wung Lee, a Engineering and Technology scholar from IEEE Computer Society, has 95 publications recorded across 18 years, from 1996 to 2013.
  • The oldest publication on record dates to 1996 and the most recent to 2013.
  • The most productive year is 2011, with 13 publications.
  • The least productive years with any output are 2004 and 2006, with 2 publications each.
  • 2 of the 18 years in the span carry no publications at all (2005 and 2007).
  • The rate of publication averages 5.3 papers per year over the whole span, or 5.9 per year counting only the 16 years with at least one publication.
  • The last 5 years on the chart (2009-2013) hold 44 publications, 46% of the career total.
  • Split into equal eras - 1996-2001: 35 publications (5.8 per year); 2002-2007: 13 publications (2.2 per year); 2008-2013: 47 publications (7.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Peter Wung Lee publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Peter Wung Lee sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 88–97 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259 91
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Peter Wung Lee publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Peter Wung Lee, a Engineering and Technology scholar from IEEE Computer Society, records 91 publications - the 6th percentile of the discipline.
  • 6% of ranked Engineering and Technology scientists score the same or lower than Peter Wung Lee, and about 94% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Peter Wung Lee ranks below the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

Peter Wung Lee D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Wung Lee sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 32 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129 32
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Peter Wung Lee D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Peter Wung Lee, a Engineering and Technology scholar from IEEE Computer Society, records 32 D-Index - the 3rd percentile of the discipline.
  • 3% of ranked Engineering and Technology scientists score the same or lower than Peter Wung Lee, and about 97% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Peter Wung Lee ranks below the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

Overview

What is he best known for?

The fields of study he is best known for:

  • Transistor
  • Integrated circuit
  • Voltage

His primary scientific interests are in Voltage, Electrical engineering, Flash memory, Computer hardware and Memory cell. His research integrates issues of Electronic engineering and Chip in his study of Voltage. In general Electrical engineering study, his work on High voltage, Field-effect transistor, Multiple-emitter transistor and Darlington transistor often relates to the realm of Regulator, thereby connecting several areas of interest.

Peter Wung Lee incorporates Flash memory and Erasure in his research. His studies in Sense amplifier, Semiconductor memory and Non-volatile memory are all subfields of Computer hardware research. In his study, NAND gate is inextricably linked to Embedded system, which falls within the broad field of Non-volatile memory.

His most cited work include:

  • Novel monolithic, combo nonvolatile memory allowing byte, page and block write with no disturb and divided-well in the cell array using a unified cell structure and technology with a new scheme of decoder and layout (157 citations)
  • Dram-like nvm memory array and sense amplifier design for high temperature and high endurance operation (135 citations)
  • Bit-refreshable method and circuit for refreshing a nonvolatile flash memory (93 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Flash memory, Computer hardware, Electrical engineering, Voltage and Flash. His work carried out in the field of Flash memory brings together such families of science as Electronic circuit, Electronic engineering and Signal. His Computer hardware study deals with NAND gate intersecting with Embedded system and Racetrack memory.

His work on Transistor, Threshold voltage, Capacitor and Breakdown voltage as part of general Electrical engineering study is frequently linked to Charge, bridging the gap between disciplines. His biological study spans a wide range of topics, including Chip and Line. Peter Wung Lee incorporates Flash and Byte in his studies.

He most often published in these fields:

  • Flash memory (50.00%)
  • Computer hardware (45.00%)
  • Electrical engineering (43.00%)

What were the highlights of his more recent work (between 2010-2013)?

  • Computer hardware (45.00%)
  • Flash (32.00%)
  • EEPROM (23.00%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Computer hardware, Flash, EEPROM, NAND gate and Non-volatile memory. Peter Wung Lee works mostly in the field of Computer hardware, limiting it down to topics relating to Embedded system and, in certain cases, Computer memory. His EEPROM research is multidisciplinary, relying on both High voltage and Voltage.

His NAND gate study incorporates themes from Electronic engineering and Flash memory. He combines subjects such as Optoelectronics, Node and Semiconductor memory with his study of Flash memory. His Transistor research is classified as research in Electrical engineering.

Between 2010 and 2013, his most popular works were:

  • Dram-like nvm memory array and sense amplifier design for high temperature and high endurance operation (135 citations)
  • Non-boosting program inhibit scheme in NAND design (29 citations)
  • Universal timing waveforms sets to improve random access read and write speed of memories (18 citations)

In his most recent research, the most cited papers focused on:

  • Transistor
  • Integrated circuit
  • Voltage

Peter Wung Lee mostly deals with Computer hardware, EEPROM, NAND gate, Voltage and Flash. Peter Wung Lee frequently studies issues relating to Threshold voltage and Computer hardware. His studies deal with areas such as Dram and Power consumption as well as Threshold voltage.

With his scientific publications, his incorporates both EEPROM and Reduction. His work deals with themes such as Low voltage, NMOS logic, PMOS logic, Buffer and Embedded system, which intersect with NAND gate. Voltage is the subject of his research, which falls under Electrical engineering.

Best Publications

  • Novel monolithic, combo nonvolatile memory allowing byte, page and block write with no disturb and divided-well in the cell array using a unified cell structure and technology with a new scheme of decoder and layout

    Peter W. Lee;Fu-Chang Hsu;Hsing-Ya Tsao;Han-Rei Ma

  • Dram-like nvm memory array and sense amplifier design for high temperature and high endurance operation

    Peter Wung Lee;Fu-Chang Hsu

  • Flash memory address decoder with novel latch

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Set of three level concurrent word line bias conditions for a NOR type flash memory array

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu;Mervyn Wong

  • Node-precise voltage regulation for a MOS memory system

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Flash memory wordline decoder with overerase repair

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Charge pump circuits

    Fu-Chang Hsu;Hsing-Ya Tsao;Peter Wung Lee

  • Parallel channel programming scheme for MLC flash memory

    Fu-Chang Hsu;Peter W. Lee;Hsing-Ya Tsao

  • Flash memory array having maximum and minimum threshold voltage detection for eliminating over-erasure problem and enhancing write operation

    Peter Wung Lee;Hsing-Ya Tsao;Fu-Chang Hsu;Wen-Tan Fan

  • OR-plane memory cell array for flash memory with bit-based write capability, and methods for programming and erasing the memory cell array

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Integrated SRAM and FLOTOX EEPROM memory device

    Fu-Chang Hsu;Peter Wung Lee

  • Positive/negative high voltage charge pump system

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Memory device with on-chip manufacturing and memory cell defect detection capability

    Peter W. Lee;Hsing-Ya Tsao;Fu-Chang Hsu

  • Novel NAND-based hybrid NVM design that integrates NAND and NOR in 1-die with serial interface

    Peter W. Lee;Fu-Chang Hsu;Kesheng Wang

  • NAND based NMOS NOR flash memory cell, a NAND based NMOS NOR flash memory array, and a method of forming a NAND based NMOS NOR flash memory array

    Peter Wung Lee;Fu-Chang Hsu;Hsing-Ya Tsao

  • Flash memory protection attribute status bits held in a flash memory array

    Peter Wung Lee;Fu-Chang Hsu;Hsing-Ya Tsao

  • Memory system having nand-based nor and nand flashes and sram integrated in one chip for hybrid data, code and cache storage

    Peter Wung Lee;Fu-Chang Hsu;Kesheng Wang

  • Highly-integrated flash memory and mask ROM array architecture

    Peter W. Lee;Fu-Chang Hsu

  • Reversed split-gate cell array

    Peter Wung Lee;Fu-Chang Hsu;Hsing-Ya Tsao

  • Bit line gate transistor structure for a multilevel, dual-sided nonvolatile memory cell NAND flash array

    Peter Wung Lee;Fu-Chang Hsu

  • NAND string based NAND/NOR flash memory cell, array, and memory device having parallel bit lines and source lines, having a programmable select gating transistor, and circuits and methods for operating same

    Peter Wung Lee;Fu-Chang Hsu

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