Zichen He

31 papers receiving 415 citations

Peers

Zichen He
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 146
  • Developmental Biology 12
  • Automotive Engineering 42
  • Ocean Engineering 47
  • Artificial Intelligence 101
Replace Robert L. Ewing with:
Robert L. Ewing United States
Gioele Ciaparrone Italy
Katsuhiko Mori Japan
Rui Jiang China
Lei Shao China
Tanvir Zaman Khan Bangladesh
Kang Wang China
Javier Hidalgo‐Carrió Switzerland
Dong–Sun Kim South Korea
Francisco Gómez Spain
Zichen He relative to Robert L. Ewing United States Robert L. Ewing's profile →
Citations per field
00.5×2×4×6×8.7×
Robert L. Ewing · 1×
Citations per year

Countries citing papers authored by Zichen He

Since Specialization
Citations

This map shows the geographic impact of Zichen He'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 Zichen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zichen He more than expected).

Fields of papers citing papers by Zichen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zichen He. 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 Zichen He. The network helps show where Zichen He may publish in the future.

Co-authors

The 25 scholars most cited alongside Zichen He, 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 Zichen He Line = papers co-authored together Zichen He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202377
2 202173
3 202236
4 201932
5 202227
6 202225
7 202119
8 202318
9 202514
10 202411
11 20199
12 20229
13 20259
14 20248
15 20208
16 20226
17 20246
18 20225
19 20215
20 20255

About Zichen He

Zichen He is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biophysics, having authored 33 papers that have together received 428 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Laser-induced spectroscopy and plasma (5 papers), Plasma Diagnostics and Applications (4 papers), Reinforcement Learning in Robotics (3 papers), Distributed Control Multi-Agent Systems (3 papers), Robotics and Sensor-Based Localization (3 papers), High voltage insulation and dielectric phenomena (3 papers) and Atomic and Molecular Physics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Developmental Biology (12 citations), Automotive Engineering (42 citations), Ocean Engineering (47 citations) and Artificial Intelligence (101 citations). Zichen He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lu Dong, Changyin Sun, Chunwei Song, Jiawei Wang, Tingting Cai, Katherine Tschida, Jinyu Chen, Chi Zhang, Chao Xie and Bin Huang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Review of Scientific Instruments, Current Biology, PLoS ONE and Connection Science.

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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