Cheng Xiang

3.3k citations
145 papers · 2.3k · h-index 24

Impact in

Papers in

Cheng Xiang

133 papers receiving 2.2k citations

Peers

Cheng Xiang
Comparison fields: 5 of 156
  • Control and Systems Engineering 712
  • Computer Vision and Pattern Recognition 556
  • Experimental and Cognitive Psychology 187
  • Artificial Intelligence 455
  • Signal Processing 151
Replace Asha Rani with:
Asha Rani India
Yong Song China
Vijander Singh India
Ayşegül Uçar Türkiye
Mingjun Zhong China
Maurizio Filippone United Kingdom
K. Ramar India
Anca Ralescu United States
Jon Rigelsford United Kingdom
Osama Ahmad Alomari Jordan
Cheng Xiang relative to Asha Rani India Asha Rani's profile →
Citations per field
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Asha Rani · 1×
Citations per year

Countries citing papers authored by Cheng Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011242
2 2000217
3 2008180
4 2008117
5 200587
6 200673
7 201969
8 202165
9 202162
10 202262
11 200757
12 202050
13 200944
14 202043
15 201442
16 202040
17 201938
18 201733
19 201627
20 202026

About Cheng Xiang

Cheng Xiang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Signal Processing, having authored 145 papers that have together received 2.3k indexed citations. Recurring topics across this work include Control Systems and Identification (15 papers), Face and Expression Recognition (14 papers), Stability and Control of Uncertain Systems (14 papers), Fault Detection and Control Systems (11 papers), Advanced Control Systems Optimization (11 papers), Blind Source Separation Techniques (10 papers), Neural Networks and Applications (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Control and Systems Engineering (712 citations), Computer Vision and Pattern Recognition (556 citations), Experimental and Cognitive Psychology (187 citations), Artificial Intelligence (455 citations) and Signal Processing (151 citations). Cheng Xiang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Kumpati S. Narendra, Tong Heng Lee, T.H. Lee, Y.V. Venkatesh, Dong Huang, Bharath Ramesh, Kai‐Rong Qin, Hai Lin, Shuzhi Sam Ge and Tong H. Lee. Their work appears in journals such as Biomechanics and Modeling in Mechanobiology, Neurocomputing, Frontiers in Endocrinology, Pattern Recognition and IEEE Transactions on Image Processing.

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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