Dan Shen

4.6k citations
243 papers · 3.6k · h-index 28

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Target Tracking and Data Fusion in Sensor Networks
    • Space Satellite Systems and Control
    • Satellite Communication Systems

Papers in

Dan Shen

222 papers receiving 3.4k citations

Peers

Dan Shen
Comparison fields: 5 of 118
  • Artificial Intelligence 1.3k
  • Aerospace Engineering 864
  • Computer Networks and Communications 418
  • Information Systems 432
  • Media Technology 111
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Citations per field
00.5×2×2.7×
Kagan Tumer · 1×
Citations per year

Countries citing papers authored by Dan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan 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 Dan Shen Line = papers co-authored together Dan Shen 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
Using Semantic Roles to Improve Question Answering
2007249
2 2004204
3 2004168
4 2013141
5 2006122
6 2016116
7 2003113
8 201499
9 201997
10 200491
11 200578
12 200763
13 200858
14
Performance and Scalability of a Large-Scale N-gram Based Information Retrieval System
200056
15 201156
16 201356
17 200854
18 201250
19 201247
20 200641

About Dan Shen

Dan Shen is a scholar working on Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications, Information Systems and Control and Systems Engineering, having authored 243 papers that have together received 3.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (33 papers), Space Satellite Systems and Control (29 papers), Satellite Communication Systems (20 papers), Radar Systems and Signal Processing (14 papers), Video Surveillance and Tracking Methods (13 papers), Military Strategy and Technology (11 papers), Cognitive Radio Networks and Spectrum Sensing (11 papers) and Network Security and Intrusion Detection (10 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Aerospace Engineering (864 citations), Computer Networks and Communications (418 citations), Information Systems (432 citations) and Media Technology (111 citations). Dan Shen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Genshe Chen, Erik Blasch, Khanh Dai Pham, Guodong Zhou, Jian Su, Mirella Lapata, Chew-Lim Tan, Jose B. Cruz, Yu Chen and Bingwei Liu. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine, BMC Cardiovascular Disorders, Engineering Failure Analysis, Frontiers in Physiology and BMC Bioinformatics.

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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