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 38 4870 4673 222 206 205 6718

Jinfeng Liu publications per year

The chart shows the history of publications by Jinfeng Liu between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jinfeng Liu published across 21 years, from 2005 to 2025, averaging 15 papers a year. Output peaked at 47 publications in 2023. 46 of the 315 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2023. 2005: 1 publication 2006: 0 publications 2007: 0 publications 2008: 2 publications 2009: 10 publications 2010: 12 publications 2011: 17 publications 2012: 14 publications 2013: 21 publications 2014: 9 publications 2015: 9 publications 2016: 11 publications 2017: 18 publications 2018: 15 publications 2019: 17 publications 2020: 10 publications 2021: 14 publications 2022: 42 publications 2023: 47 publications 2024: 23 publications 2025: 23 publications
2005 2025

315 publications in total across all disciplines

View publications per year as a table
Jinfeng Liu: publications per year, 2005 to 2025
Year Publications
2005 1
2006 0
2007 0
2008 2
2009 10
2010 12
2011 17
2012 14
2013 21
2014 9
2015 9
2016 11
2017 18
2018 15
2019 17
2020 10
2021 14
2022 42
2023 47
2024 23
2025 23
Total 315
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Jinfeng Liu 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 Jinfeng Liu 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: 205 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
194–213 430 205
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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Jinfeng Liu 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 Jinfeng Liu 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, 38 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: 38 D-Index — 30th percentile

30% 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
35 236
36 211
37 220
38 214 38
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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Overview

Jinfeng Liu is affiliated with the University of Alberta in Canada and has a significant academic footprint in the field of engineering. Their primary research contributions concentrate on control systems, optimization, and environmental applications. The scholar has published extensively within the domains of Control and Systems Engineering, Electrical and Electronic Engineering, Soil Science, Environmental Engineering, and Artificial Intelligence.

The research topics covered by Jinfeng Liu include:

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Irrigation Practices and Water Management
  • Process Optimization and Integration
  • Soil Moisture and Remote Sensing
  • Soil and Unsaturated Flow
  • Control Systems and Identification

Their body of work spans multiple high-impact journals and conference proceedings, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Process Safety and Environmental Protection
  • Harvard Dataverse
  • Computers & Chemical Engineering

Examples of notable recent publications authored or co-authored by Jinfeng Liu include:

  • "Enhanced structural and cycling stability of O3-type NaNi1/3Mn1/3Fe1/3O2 cathode by Al replacement of Mn studied in half cell/full sodium-ion batteries," 2022, Journal of Alloys and Compounds
  • "Economic model predictive control of integrated energy systems: A multi-time-scale framework," 2022, Applied Energy
  • "Boosting the ionic transport and structural stability of Zn-doped O3-type NaNi1/3Mn1/3Fe1/3O2 cathode material for half/full sodium-ion batteries," 2022, Electrochimica Acta
  • "A review On reinforcement learning: Introduction and applications in industrial process control," 2020, Computers & Chemical Engineering
  • "Robust economic model predictive control of nonlinear networked control systems with communication delays," 2020, International Journal of Adaptive Control and Signal Processing

The scientist's collaborative network features several frequent co-authors, indicating an active involvement in multidisciplinary research projects. Key collaborators include Bernard T. Agyeman, Xunyuan Yin, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson, and Sirish L. Shah.

Best Publications

  • Distributed model predictive control: A tutorial review and future research directions

    Panagiotis D. Christofides;Riccardo Scattolini;David Muñoz de la Peña;Jinfeng Liu

  • A review On reinforcement learning: Introduction and applications in industrial process control

    Rui Nian;Jinfeng Liu;Biao Huang

  • Economic model predictive control of nonlinear process systems using Lyapunov techniques

    Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed model predictive control of nonlinear process systems

    Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems

    Wei Qi;Jinfeng Liu;Xianzhong Chen;P D Christofides

  • Sequential and Iterative Architectures for Distributed Model Predictive Control of Nonlinear Process Systems

    Jinfeng Liu;Xianzhong Chen;David Muñoz de la Peña;Panagiotis D. Christofides

  • Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications

    Panagiotis D. Christofides;Jinfeng Liu;David Muoz de la Pea

  • Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements

    Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Distributed economic MPC: Application to a nonlinear chemical process network

    Xianzhong Chen;Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed Supervisory Predictive Control of Distributed Wind and Solar Energy Systems

    Wei Qi;Jinfeng Liu;P. D. Christofides

  • Economic Model Predictive Control of Wastewater Treatment Processes

    Jing Zeng;Jing Zeng;Jinfeng Liu

  • A distributed control framework for smart grid development: Energy/water system optimal operation and electric grid integration

    Wei Qi;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed moving horizon state estimation of two-time-scale nonlinear systems

    Xunyuan Yin;Jinfeng Liu

  • Iterative Distributed Model Predictive Control of Nonlinear Systems: Handling Asynchronous, Delayed Measurements

    Jinfeng Liu;Xianzhong Chen;David Muñoz de la Pena;P. D. Christofides

  • Supervisory Predictive Control for Long-Term Scheduling of an Integrated Wind/Solar Energy Generation and Water Desalination System

    Wei Qi;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties

    Jing Zhang;Jinfeng Liu

  • Moving horizon state estimation for nonlinear systems with bounded uncertainties

    Jinfeng Liu

  • Detection, isolation and handling of actuator faults in distributed model predictive control systems

    David Chilin;Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Economic Model Predictive Control

    Unknown

  • Networked and Distributed Predictive Control

    Panagiotis D. Christofides;Jinfeng Liu;David Muñoz de la Peña

  • Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part I: Theory

    Jinfeng Liu;Xianzhong Chen;David Munoz de la Pena;Panagiotis D. Christofides

  • Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions

    Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part II: Application to a catalytic alkylation of benzene process

    Jinfeng Liu;Xianzhong Chen;David Munoz de la Pena;Panagiotis D. Christofides

Frequent Co-Authors

Panagiotis D. Christofides
Panagiotis D. Christofides University of California, Los Angeles
Sirish L. Shah
Sirish L. Shah University of Alberta
Biao Huang
Biao Huang University of Alberta
Prashant Mhaskar
Prashant Mhaskar McMaster University
Jie Bao
Jie Bao University of New South Wales
Bhavik R. Bakshi
Bhavik R. Bakshi The Ohio State University
Richard K.K. Yuen
Richard K.K. Yuen City University of Hong Kong
Riccardo Scattolini
Riccardo Scattolini Polytechnic University of Milan
D. Muñoz de la Peña
D. Muñoz de la Peña University of Seville

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