Derong Shen

1.4k citations
106 papers · 769 · h-index 12

Impact in

Papers in

Derong Shen

88 papers receiving 748 citations

Peers

Derong Shen
Comparison fields: 5 of 107
  • Health Information Management 71
  • Artificial Intelligence 430
  • Information Systems 189
  • Signal Processing 81
  • Computer Networks and Communications 134
Replace Tiezheng Nie with:
Tiezheng Nie China
Yann‐Aël Le Borgne Belgium
Wubai Zhou United States
Silvia Chiusano Italy
Hoda Mashayekhi Iran
Chien-Chung Chan United States
B. K. Tripathy India
Abdullah Alamri Saudi Arabia
Amir Masoud Eftekhari Moghadam Iran
Aswani Kumar Cherukuri India
Derong Shen relative to Tiezheng Nie China Tiezheng Nie's profile →
Citations per field
00.5×1.5×
Tiezheng Nie · 1×
Citations per year

Countries citing papers authored by Derong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Derong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 2021150
3 202245
4 202234
5 201421
6 202118
7 202317
8 202214
9 201514
10 202213
11 200612
12 202012
13 201811
14 201310
15 200710
16 201510
17 201410
18 20218
19 20228
20 20176

About Derong Shen

Derong Shen is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 769 indexed citations. Recurring topics across this work include Data Quality and Management (29 papers), Web Data Mining and Analysis (21 papers), Advanced Database Systems and Queries (12 papers), Privacy-Preserving Technologies in Data (11 papers), Complex Network Analysis Techniques (11 papers), Service-Oriented Architecture and Web Services (10 papers), Topic Modeling (10 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Health Information Management (71 citations), Artificial Intelligence (430 citations), Information Systems (189 citations), Signal Processing (81 citations) and Computer Networks and Communications (134 citations). Derong Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tiezheng Nie, Yue Kou, Zhaozhao Xu, Ge Yu, Han Xi, Nan Yin, Zongmin Ma, Yucheng Li, Yu Ge and Ning Yan. Their work appears in journals such as Frontiers of Computer Science, Journal of Intelligent & Fuzzy Systems, Information Sciences, IEEE Access and World Wide Web.

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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