Cheng–Te Li
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Advanced Graph Neural Networks 28
- Topic Modeling 14
-
- Complex Network Analysis Techniques 43
- Opinion Dynamics and Social Influence 12
- Co-authors
- Man-Kwan Shan (18 shared papers)Shou-De Lin (37 shared papers)Hsun-Ping Hsieh (26 shared papers)Chih-Yao Chen (3 shared papers)Mi-Yen Yeh (4 shared papers)Jun Pang (7 shared papers)Rui Yan (5 shared papers)Zhiqiang Zhong (5 shared papers)
- Journals
- ACM Transactions on Intelligent Systems and Technology (9 papers)Knowledge and Information Systems (7 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)Information Sciences (3 papers)Applied Sciences (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Cheng–Te Li
125 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Transportation 213
- Statistical and Nonlinear Physics 301
- Computer Science Applications 129
- Artificial Intelligence 678
- Information Systems 457
Countries citing papers authored by Cheng–Te Li
This map shows the geographic impact of Cheng–Te Li'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 Cheng–Te Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng–Te Li more than expected).
Fields of papers citing papers by Cheng–Te Li
This network shows the impact of papers produced by Cheng–Te Li. 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 Cheng–Te Li. The network helps show where Cheng–Te Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng–Te Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 88 | |
| 2 | 2018 | 69 | |
| 3 | 2012 | 62 | |
| 4 | 2021 | 50 | |
| 5 | 2021 | 47 | |
| 6 | 2021 | 45 | |
| 7 | 2019 | 38 | |
| 8 | 2013 | 35 | |
| 9 | 2011 | 35 | |
| 10 | 2017 | 33 | |
| 11 | 2022 | 33 | |
| 12 | 2016 | 29 | |
| 13 | 2022 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2014 | 24 | |
| 18 | 2019 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2014 | 22 |
About Cheng–Te Li
Cheng–Te Li is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Transportation and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (43 papers), Human Mobility and Location-Based Analysis (38 papers), Advanced Graph Neural Networks (28 papers), Recommender Systems and Techniques (18 papers), Topic Modeling (14 papers), Data Management and Algorithms (13 papers), Opinion Dynamics and Social Influence (12 papers) and Spam and Phishing Detection (11 papers). The work is most often cited by research in Transportation (213 citations), Statistical and Nonlinear Physics (301 citations), Computer Science Applications (129 citations), Artificial Intelligence (678 citations) and Information Systems (457 citations). Cheng–Te Li has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Man-Kwan Shan, Shou-De Lin, Hsun-Ping Hsieh, Chih-Yao Chen, Mi-Yen Yeh, Jun Pang, Rui Yan, Zhiqiang Zhong, Meeyoung Cha and Yiping Song. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, Information Sciences and Applied Sciences.
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.