Chen Jiang

1.0k citations
58 papers · 642 · h-index 13

Impact in

Papers in

Chen Jiang

49 papers receiving 607 citations

Peers

Chen Jiang
Comparison fields: 5 of 73
  • Geometry and Topology 103
  • Statistical and Nonlinear Physics 121
  • Computer Networks and Communications 202
  • Signal Processing 61
  • Artificial Intelligence 181
Replace Κωνσταντίνος Παναγιώτου with:
Κωνσταντίνος Παναγιώτου Germany
Bernard Mans Australia
Dandan Zhao China
Ovidiu Bagdasar United Kingdom
Do Young Eun United States
Michael M. Hoffmann Switzerland
Baoxiang Wang China
Stephan Bohacek United States
Chen Jiang relative to Κωνσταντίνος Παναγιώτου Germany Κωνσταντίνος Παναγιώτου's profile →
Citations per field
00.5×
Κωνσταντίνος Παναγιώτου · 1×
Citations per year

Countries citing papers authored by Chen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 201393
3 200456
4 200540
5 202234
6 200728
7 202027
8 201325
9
Learning a Hidden Hypergraph
200623
10 200420
11
A robust algorithm for ear recognition under partial occlusion
201312
12 201912
13 201312
14 20209
15 20059
16 20229
17
On birational boundedness of Fano fibrations
20188
18 20068
19 20118
20 20217

About Chen Jiang

Chen Jiang is a scholar working on Geometry and Topology, Computer Networks and Communications, Artificial Intelligence, Applied Mathematics and Electrical and Electronic Engineering, having authored 58 papers that have together received 642 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (20 papers), Geometry and complex manifolds (16 papers), Geometric Analysis and Curvature Flows (8 papers), Machine Learning and Algorithms (7 papers), Optimization and Search Problems (6 papers), Algorithms and Data Compression (5 papers), Advanced Algebra and Geometry (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Geometry and Topology (103 citations), Statistical and Nonlinear Physics (121 citations), Computer Networks and Communications (202 citations), Signal Processing (61 citations) and Artificial Intelligence (181 citations). Chen Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dana Angluin, Jianwei Wang, Ciya Liao, Zhaohui Zheng, Olivier Chapelle, Hugo Zaragoza, B. Barla Cambazoğlu, James Aspnes, Arvind Krishnamurthy and Zheng Ma. Their work appears in journals such as Duke Mathematical Journal, Journal of Computer and System Sciences, International Mathematics Research Notices, Journal of Network and Computer Applications and Nagoya Mathematical Journal.

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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