Chongsheng Zhang

1.5k citations
44 papers · 1.0k indexed · 1 hit paper · h-index 14
Topics
Imbalanced Data Classification Techniques (8 papers)Handwritten Text Recognition Techniques (7 papers)Image Processing and 3D Reconstruction (6 papers)
Partner nations
ChinaItalySpain

In The Last Decade

Chongsheng Zhang

40 papers receiving 1.0k citations

Hit Papers

An up-to-date comparison of state-of-the-art classificati...20172026202020232017100200300

Peers

Chongsheng Zhang
Comparison fields: 5 of 152
  • Artificial Intelligence 487
  • Computer Vision and Pattern Recognition 264
  • Information Systems 139
  • Electrical and Electronic Engineering 105
  • Computer Networks and Communications 79
Replace César García‐Osorio with:
César García‐Osorio Spain
Rafael M. O. Cruz Canada
Husanbir Singh Pannu India
Jose G. Moreno-Torres Spain
Jafar Tanha Iran
Manosij Ghosh India
Shan Suthaharan United States
Paula Branco Canada
Haibo He United States
Suhel Hammoud United Kingdom
Chongsheng Zhang relative to César García‐Osorio Spain César García‐Osorio's profile →
Citations per field
00.5×1.5×2.2×
César García‐Osorio · 1×
Citations per year

Countries citing papers authored by Chongsheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chongsheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongsheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chongsheng Zhang. A scholar is included among the top collaborators of Chongsheng Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chongsheng Zhang. Chongsheng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 0
4 1
5 6
6 3
7 0
8 1
9 2
10 27
11 4
12 15
13 1
14 8
15 3
16 31
17 16
18 137
19 24
20 2

About Chongsheng Zhang

Chongsheng Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Developmental Biology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers) and Image Processing and 3D Reconstruction (6 papers). The work is most often cited by research in Artificial Intelligence (487 citations), Computer Vision and Pattern Recognition (264 citations) and Health Information Management (48 citations). Chongsheng Zhang has collaborated with scholars based in China, Italy and Spain. Frequent co-authors include Jingjun Bi, George Almpanidis, Changchang Liu, Xiangliang Zhang, Gaojuan Fan, Weiping Ding, Enislay Ramentol, Hamido Fujita, Shixin Xu and Baojun Qiao. Their work appears in journals such as Carbohydrate Polymers, Expert Systems with Applications and IEEE Access.

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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