Dewang Chen

99 papers receiving 1.3k citations

Peers

Dewang Chen
Comparison fields: 5 of 112
  • Transportation 343
  • Industrial and Manufacturing Engineering 503
  • Building and Construction 274
  • Automotive Engineering 179
  • Control and Systems Engineering 254
Replace Huanhuan Li with:
Huanhuan Li China
Julius Pfrommer Germany
Alfredo Núñez Netherlands
Khaled Abdelghany United States
Kien Ming Ng Singapore
Yaping Ren China
Asier Perallos Spain
Allan Larsen Denmark
Koorush Ziarati Iran
Nikola Bešinović Netherlands
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Countries citing papers authored by Dewang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dewang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014144
2 202093
3 201362
4 202162
5 201861
6 202141
7 201140
8 201539
9 201536
10 201935
11 201533
12 201929
13 201727
14 201727
15 201825
16 200825
17 201625
18
Modeling and System Identification of the Braking System of Urban Rail Vehicles
201124
19 201622
20 202221

About Dewang Chen

Dewang Chen is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Transportation, Control and Systems Engineering and Artificial Intelligence, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (31 papers), Traffic Prediction and Management Techniques (27 papers), Transportation Planning and Optimization (26 papers), Railway Engineering and Dynamics (18 papers), Neural Networks and Applications (10 papers), Fuzzy Logic and Control Systems (9 papers), Traffic control and management (7 papers) and Advanced Decision-Making Techniques (7 papers). The work is most often cited by research in Transportation (343 citations), Industrial and Manufacturing Engineering (503 citations), Building and Construction (274 citations), Automotive Engineering (179 citations) and Control and Systems Engineering (254 citations). Dewang Chen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jiateng Yin, Lingxi Li, Yidong Li, Shixiong Jiang, Tao Tang, Yongduan Song, Long Chen, Lixing Yang, Chunhai Gao and Rong Chen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Fuzzy Systems, Applied Sciences, IEEE Access and Expert Systems with Applications.

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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