Chengwei Su

37 papers receiving 490 citations

Peers

Chengwei Su
Comparison fields: 5 of 112
  • Transportation 62
  • Hardware and Architecture 65
  • Building and Construction 91
  • Management Science and Operations Research 79
  • Control and Systems Engineering 88
Replace Juxia Xiong with:
Juxia Xiong China
Natasha Neogi United States
Carles Pous Spain
Husni Idris United States
Keiko V. O. Fonseca Brazil
Jihun Han South Korea
Jane Macfarlane United States
Chengwei Su relative to Juxia Xiong China Juxia Xiong's profile →
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Citations per year

Countries citing papers authored by Chengwei Su

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201370
2 200648
3 199444
4 200637
5 200233
6 199125
7 202024
8 201823
9 200320
10 201919
11 202017
12 200417
13 201715
14 201712
15 202112
16 200212
17 201610
18 200610
19 20209
20 20058

About Chengwei Su

Chengwei Su is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Hardware and Architecture and Transportation, having authored 38 papers that have together received 523 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Transportation Planning and Optimization (5 papers), Natural Language Processing Techniques (5 papers), Semiconductor materials and devices (5 papers), VLSI and Analog Circuit Testing (5 papers), Speech and dialogue systems (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Transportation (62 citations), Hardware and Architecture (65 citations), Building and Construction (91 citations), Management Science and Operations Research (79 citations) and Control and Systems Engineering (88 citations). Chengwei Su has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Feng‐Bor Lin, Min–Yuan Cheng, Mark E. Borsuk, Margaret R. Karagas, Angeline S. Andrew, Lin-Huang Chang, Spyros Matsoukas, Chi‐Yuan Chang, Tsung-Han Lee and Hung‐Chi Chu. Their work appears in journals such as Journal of Civil Engineering and Management, IEEE Transactions on Robotics and Automation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Lasers in Surgery and Medicine and Journal of Transportation Engineering.

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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