Cheng Hu

674 citations
27 papers · 383 · h-index 12

Impact in

Papers in

Cheng Hu

26 papers receiving 374 citations

Peers

Cheng Hu
Comparison fields: 5 of 67
  • Cognitive Neuroscience 127
  • Cellular and Molecular Neuroscience 113
  • Computer Vision and Pattern Recognition 97
  • Aerospace Engineering 72
  • Automotive Engineering 34
Replace Mario I. Chacón-Murguía with:
Mario I. Chacón-Murguía Mexico
Marco Guermandi Italy
Ajat Shatru Arora India
Yatindra Kumar India
Fangwen Yu China
F. Javier Toledo Spain
Juan P. Dominguez‐Morales Spain
Rahul Upadhyay India
Kenji Terada Japan
Chuangquan Chen China
Cheng Hu relative to Mario I. Chacón-Murguía Mexico Mario I. Chacón-Murguía's profile →
Citations per field
00.5×3.8×
Mario I. Chacón-Murguía · 1×
Citations per year

Countries citing papers authored by Cheng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201943
3 201943
4 199740
5 201832
6 201720
7 202119
8 201619
9 199417
10 202214
11 201814
12 201911
13 201910
14 20149
15 20188
16 20218
17 20216
18 20186
19 20205
20 20214

About Cheng Hu

Cheng Hu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 27 papers that have together received 383 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (6 papers), Advanced Memory and Neural Computing (6 papers), Neurobiology and Insect Physiology Research (5 papers), Modular Robots and Swarm Intelligence (5 papers), Neural dynamics and brain function (5 papers), Insect and Arachnid Ecology and Behavior (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Insect Pheromone Research and Control (3 papers). The work is most often cited by research in Cognitive Neuroscience (127 citations), Cellular and Molecular Neuroscience (113 citations), Computer Vision and Pattern Recognition (97 citations), Aerospace Engineering (72 citations) and Automotive Engineering (34 citations). Cheng Hu has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Shigang Yue, Qinbing Fu, Hsing I. Chen, Hongxin Wang, Jigen Peng, Farshad Arvin, Caihua Xiong, F. Claire Rind, Jigen Peng and Nicola Bellotto. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Access, IEEE Transactions on Cognitive and Developmental Systems, Advanced Engineering Informatics and Neural Networks.

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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