He Jiang

93 papers receiving 2.3k citations

He Jiang's Hit Papers

Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method 2016 · 330 citations
3300+3+6Years since publication100200300

Peers

He Jiang
Comparison fields: 5 of 124
  • Computational Theory and Mathematics 1.1k
  • Control and Systems Engineering 904
  • Computer Networks and Communications 464
  • Artificial Intelligence 559
  • Cell Biology 182
Replace M. K. Sharma with:
M. K. Sharma India
Hamid Khaloozadeh Iran
Jiapeng Liu China
Tao Liu China
Hai‐Peng Ren China
M. Aldeen Australia
Sushmita Sharma India
Qixin Wang China
Johannes P. Schlöder Germany
Zhenyong Zhang China
He Jiang relative to M. K. Sharma India M. K. Sharma's profile →
Citations per field
00.5×10×20×30×36.4×
M. K. Sharma · 1×
Citations per year

Countries citing papers authored by He Jiang

Since Specialization
Citations

This map shows the geographic impact of He Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by He Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Jiang more than expected).

Fields of papers citing papers by He Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by He Jiang. The network helps show where He Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside He Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with He Jiang Line = papers co-authored together He Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method
Hit paper breakdown →
2016330
2 2016118
3 201999
4 201792
5 201882
6 202069
7 201868
8 201853
9 201653
10 201752
11 201751
12 201446
13 201944
14 201642
15 201941
16 202241
17 201439
18 201639
19 201738
20 201737

About He Jiang

He Jiang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computational Theory and Mathematics, Biomedical Engineering and Artificial Intelligence, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (27 papers), Mechanical Circulatory Support Devices (14 papers), Adaptive Control of Nonlinear Systems (13 papers), Reinforcement Learning in Robotics (10 papers), Frequency Control in Power Systems (8 papers), Viral Infections and Vectors (7 papers), Heat Transfer and Optimization (6 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Control and Systems Engineering (904 citations), Computer Networks and Communications (464 citations), Artificial Intelligence (559 citations) and Cell Biology (182 citations). He Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huaguang Zhang, Geyang Xiao, Yanhong Luo, Xiaohong Cui, Kun Zhang, Yingchun Wang, Ji Han, Huaguang Zhang, Chaomin Luo and Lun‐Quan Sun. Their work appears in journals such as Neurocomputing, Energy Reports, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Cybernetics and Journal of the Franklin Institute.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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