World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 34 5831 5598 840 835 206 4579

Liang Chen publications per year

The chart shows the history of publications by Liang Chen between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Liang Chen published across 40 years, from 1986 to 2025, averaging 8.4 papers a year. Output peaked at 37 publications in 2022. 63 of the 336 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2022. 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 1 publication 2001: 2 publications 2002: 1 publication 2003: 0 publications 2004: 1 publication 2005: 0 publications 2006: 2 publications 2007: 3 publications 2008: 4 publications 2009: 8 publications 2010: 6 publications 2011: 8 publications 2012: 16 publications 2013: 15 publications 2014: 11 publications 2015: 12 publications 2016: 14 publications 2017: 16 publications 2018: 18 publications 2019: 21 publications 2020: 16 publications 2021: 22 publications 2022: 37 publications 2023: 35 publications 2024: 30 publications 2025: 33 publications
1986 2025

336 publications in total across all disciplines

View publications per year as a table
Liang Chen: publications per year, 1986 to 2025
Year Publications
1986 1
1987 0
1988 0
1989 1
1990 1
1991 0
1992 0
1993 0
1994 0
1995 0
1996 1
1997 0
1998 0
1999 0
2000 1
2001 2
2002 1
2003 0
2004 1
2005 0
2006 2
2007 3
2008 4
2009 8
2010 6
2011 8
2012 16
2013 15
2014 11
2015 12
2016 14
2017 16
2018 18
2019 21
2020 16
2021 22
2022 37
2023 35
2024 30
2025 33
Total 336
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Liang Chen publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Liang Chen sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 194–213 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 206 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430 206
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Liang Chen D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Liang Chen sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 34 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244 34
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Best Publications

  • Chromium-ruthenium oxide solid solution electrocatalyst for highly efficient oxygen evolution reaction in acidic media

    Yichao Lin;Ziqi Tian;Linjuan Zhang;Jingyuan Ma

  • Ternary FexCo1–xP Nanowire Array as a Robust Hydrogen Evolution Reaction Electrocatalyst with Pt-like Activity: Experimental and Theoretical Insight

    Chun Tang;Linfeng Gan;Rong Zhang;Wenbo Lu

  • Enhanced Electrocatalysis for Energy‐Efficient Hydrogen Production over CoP Catalyst with Nonelectroactive Zn as a Promoter

    Tingting Liu;Danni Liu;Fengli Qu;Dengxing Wang

  • Boosted Electrocatalytic N2 Reduction to NH3 by Defect-Rich MoS2 Nanoflower

    Xianghong Li;Xianghong Li;Tingshuai Li;Yongjun Ma;Qin Wei

  • Metal-Organic Frameworks for Carbon Dioxide Capture and Methane Storage

    Yichao Lin;Chunglong Kong;Qiuju Zhang;Liang Chen

  • Mn Doping of CoP Nanosheets Array: An Efficient Electrocatalyst for Hydrogen Evolution Reaction with Enhanced Activity at All pH Values

    Tingting Liu;Xiao Ma;Danni Liu;Shuai Hao

  • Self‐Standing CoP Nanosheets Array: A Three‐Dimensional Bifunctional Catalyst Electrode for Overall Water Splitting in both Neutral and Alkaline Media

    Tingting Liu;Lisi Xie;Jianhui Yang;Rongmei Kong

  • Polyethyleneimine Incorporated Metal-Organic Frameworks Adsorbent for Highly Selective CO2 Capture

    Yichao Lin;Qiuju Yan;Chunlong Kong;Liang Chen

  • The Critical Role of Additive Sulfate for Stable Alkaline Seawater Oxidation on Nickel-Based Electrodes.

    Tengfei Ma;Wenwen Xu;Boran Li;Boran Li;Xu Chen

  • Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey

    Liang Chen;Sarang Thombre;Kimmo Jarvinen;Elena Simona Lohan

  • Recent progress in single-atom electrocatalysts: concept, synthesis, and applications in clean energy conversion

    Jianwei Su;Ruixiang Ge;Yan Dong;Yan Dong;Fei Hao;Fei Hao

  • Direct synthesis of amine-functionalized MIL-101(Cr) nanoparticles and application for CO2 capture

    Yichao Lin;Chunlong Kong;Liang Chen

  • Amine-functionalized metal–organic frameworks: structure, synthesis and applications

    Yichao Lin;Chunlong Kong;Liang Chen

  • Theoretical Screening of Single Transition Metal Atoms Embedded in MXene Defects as Superior Electrocatalyst of Nitrogen Reduction Reaction

    Lei Li;Lei Li;Xingyong Wang;Haoran Guo;Haoran Guo;Ge Yao

  • Mechanistic Study on Hydrogen Spillover onto Graphitic Carbon Materials

    Liang Chen;Alan C. Cooper;Guido P. Pez;Hansong Cheng

  • Metal-support interaction boosted electrocatalysis of ultrasmall iridium nanoparticles supported on nitrogen doped graphene for highly efficient water electrolysis in acidic and alkaline media

    Xiuju Wu;Bomin Feng;Wei Li;Yanli Niu

  • Excellent fluoride removal performance by CeO2–ZrO2 nanocages in water environment

    Jing Wang;Jing Wang;Weihong Xu;Weihong Xu;Liang Chen;Liang Chen;Yong Jia

  • Defect-induced magnetism in neutron irradiated 6H-SiC single crystals.

    Yu Liu;Gang Wang;Shunchong Wang;Jianhui Yang

  • Hydrogen spillover in the context of hydrogen storage using solid-state materials

    Hansong Cheng;Liang Chen;Alan C. Cooper;Xianwei Sha

  • Fabricating Single-Atom Catalysts from Chelating Metal in Open Frameworks

    Yichao Lin;Pingying Liu;Pingying Liu;Ever Velasco;Ge Yao

  • Hydrogen Absorption and Diffusion in Bulk α-MoO3

    Xianwei Sha;Liang Chen;Alan C. Cooper;Guido P. Pez

  • Human Behavior Cognition Using Smartphone Sensors

    Ling Pei;Robert Guinness;Ruizhi Chen;Jingbin Liu

  • Bayesian Fusion for Indoor Positioning Using Bluetooth Fingerprints

    Liang Chen;Ling Pei;Heidi Kuusniemi;Yuwei Chen

  • Carrier Phase Ranging for Indoor Positioning with 5G NR Signals

    Liang Chen;Xin Zhou;Feifei Chen;Lie-Liang Yang

  • LiDAR Scan Matching Aided Inertial Navigation System in GNSS-Denied Environments

    Jian Tang;Yuwei Chen;Xiaoji Niu;Li-Li Wang

  • An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping

    Chuang Qian;Hui Liu;Jian Tang;Yuwei Chen

  • Bluetooth Localization Technology: Principles, Applications, and Future Trends

    Unknown

  • A Review of Global Navigation Satellite System (GNSS)-Based Dynamic Monitoring Technologies for Structural Health Monitoring

    Nan Shen;Liang Chen;Jingbin Liu;Lei Wang

  • A Novel 3-D Indoor Localization Algorithm Based on BLE and Multiple Sensors

    Yue Yu;Ruizhi Chen;Liang Chen;Xingyu Zheng

  • iParking: an intelligent indoor location-based smartphone parking service.

    Jingbin Liu;Ruizhi Chen;Yuwei Chen;Ling Pei

  • Hi-Loc: Hybrid Indoor Localization via Enhanced 5G NR CSI

    Unknown

  • Design of absorptive frequency selective surface with good transmission at high frequency

    Unknown

  • Precise 3-D Indoor Localization Based on Wi-Fi FTM and Built-In Sensors

    Yue Yu;Ruizhi Chen;Liang Chen;Shihao Xu

  • Machine Learning for Time-of-Arrival Estimation With 5G Signals in Indoor Positioning

    Unknown

  • A Robust Dead Reckoning Algorithm Based on Wi-Fi FTM and Multiple Sensors

    Yue Yu;Ruizhi Chen;Liang Chen;Guangyi Guo

  • iPos-5G: Indoor Positioning via Commercial 5G NR CSI

    Unknown

  • Indoor Positioning with Smartphones:The State-of-the-art and the Challenges

    Unknown

  • Hybrid Kernel Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization

    Jun Yan;Lin Zhao;Jian Tang;Yuwei Chen

  • Smartphone-Based Indoor Positioning Technologies

    Unknown

  • TOA Estimation for Positioning With DVB-T Signals in Outdoor Static Tests

    Unknown

Frequent Co-Authors

Ruizhi Chen
Ruizhi Chen Wuhan University
Ling Pei
Ling Pei Shanghai Jiao Tong University
Ziqi Tian
Ziqi Tian Chinese Academy of Sciences
Hansong Cheng
Hansong Cheng China University of Geosciences
Chuang Shi
Chuang Shi Wuhan University
Abdullah M. Asiri
Abdullah M. Asiri King Abdulaziz University
Alan Cooper
Alan Cooper Charles Sturt University
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
J. Karl Johnson
J. Karl Johnson University of Pittsburgh
Gu Du
Gu Du Chinese Academy of Geological Sciences

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