Changle Zhou

3.2k citations
190 papers · 2.1k · h-index 24

Impact in

Papers in

Changle Zhou

178 papers receiving 2.0k citations

Peers

Changle Zhou
Comparison fields: 5 of 152
  • Cognitive Neuroscience 599
  • Human-Computer Interaction 161
  • Computer Vision and Pattern Recognition 461
  • Computer Graphics and Computer-Aided Design 66
  • Complementary and alternative medicine 137
Replace Zhongmin Wang with:
Zhongmin Wang China
Yang Li China
Fu Li China
Dean Pomerleau United States
Agostinho Rosa Portugal
Balakrishnan Prabhakaran United States
Rolf P. Würtz Germany
Eduardo Ros Spain
Jean-Marc Vésin Switzerland
Yi Xu China
Changle Zhou relative to Zhongmin Wang China Zhongmin Wang's profile →
Citations per field
00.5×10×13.7×
Zhongmin Wang · 1×
Citations per year

Countries citing papers authored by Changle Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Changle Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 2015106
3 201473
4 201073
5 202166
6 201957
7 201356
8 202054
9 201253
10 200952
11
Feature extraction and automatic recognition of plant leaf using artificial neural network
200749
12 200747
13 201844
14 201541
15 201639
16 202238
17 201935
18 202134
19 201933
20 201731

About Changle Zhou

Changle Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience and Complementary and alternative medicine, having authored 190 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Traditional Chinese Medicine Studies (21 papers), Natural Language Processing Techniques (18 papers), Robot Manipulation and Learning (16 papers), Neural dynamics and brain function (14 papers), Image Retrieval and Classification Techniques (14 papers), Human Motion and Animation (13 papers) and Face and Expression Recognition (11 papers). The work is most often cited by research in Cognitive Neuroscience (599 citations), Human-Computer Interaction (161 citations), Computer Vision and Pattern Recognition (461 citations), Computer Graphics and Computer-Aided Design (66 citations) and Complementary and alternative medicine (137 citations). Changle Zhou has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Fei Chao, Longzhi Yang, Changjing Shang, Tian-jian Luo, Chih‐Min Lin, Dajun Zhou, Junjie Wu, Xiaojun Ding, Huosheng Hu and Minghui Shi. Their work appears in journals such as Neurocomputing, Information Sciences, IEEE Access, Brain Research and IEEE Transactions on Human-Machine Systems.

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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