Gang Chen

6.3k citations
243 papers · 4.5k · 1 hit paper · h-index 33

Impact in

Papers in

Gang Chen

225 papers receiving 4.4k citations

Gang Chen's Hit Papers

Untangling Blockchain: A Data Processing View of Blockchain Systems 2018 · 865 citations
8650+2+5Years since publication250500750

Peers

Gang Chen
Comparison fields: 5 of 131
  • Signal Processing 1.0k
  • Information Systems 1.9k
  • Computer Networks and Communications 1.6k
  • Artificial Intelligence 1.8k
  • Geography, Planning and Development 275
Replace Ben Kao with:
Ben Kao Hong Kong
Aoying Zhou China
Ge Yu China
John F. Roddick Australia
Philippe Cudré-Mauroux Switzerland
Ruoming Jin United States
Raffaele Perego Italy
Qiong Luo Hong Kong
Bin Yao China
Dan Lin United States
Gang Chen relative to Ben Kao Hong Kong Ben Kao's profile →
Citations per field
00.5×2×3.3×
Ben Kao · 1×
Citations per year

Countries citing papers authored by Gang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Untangling Blockchain: A Data Processing View of Blockchain Systems
Hit paper breakdown →
2018865
2 2008166
3 2020112
4 2016105
5 2013103
6 2016101
7 2009101
8 202076
9 202076
10 202174
11 201873
12 201971
13 201869
14 201561
15 201960
16 201457
17 201449
18 201848
19 201548
20 201543

About Gang Chen

Gang Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 243 papers that have together received 4.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (78 papers), Advanced Database Systems and Queries (39 papers), Advanced Image and Video Retrieval Techniques (26 papers), Text and Document Classification Technologies (23 papers), Geographic Information Systems Studies (22 papers), Advanced Data Storage Technologies (20 papers), Automated Road and Building Extraction (19 papers) and Cloud Computing and Resource Management (17 papers). The work is most often cited by research in Signal Processing (1.0k citations), Information Systems (1.9k citations), Computer Networks and Communications (1.6k citations), Artificial Intelligence (1.8k citations) and Geography, Planning and Development (275 citations). Gang Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Beng Chin Ooi, Meihui Zhang, Tien Tuan Anh Dinh, Yunjun Gao, Rui Liu, Ji Wang, Lidan Shou, Changshui Zhang, Baihua Zheng and Ke Chen. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Information Sciences, The VLDB Journal and Journal of Zhejiang University. Science A.

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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