Cheng–Te Li
- Transportation top 2%
- Human Mobility and Location-Based Analysis 38
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- Complex Network Analysis Techniques 43
- Opinion Dynamics and Social Influence 12
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 28
- Topic Modeling 14
- Information Systems top 2%
- Recommender Systems and Techniques 18
- Spam and Phishing Detection 11
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- Data Management and Algorithms 13
- Co-authors
- Man-Kwan ShanShou-De LinHsun-Ping HsiehChih-Yao ChenMi-Yen YehJun PangRui YanZhiqiang Zhong
- 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)
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 50 | |
| 11 | 2021 | 27 | |
| 12 | 2016 | 3 | |
| 13 | Measuring and recommending time-sensitive routes from location-based data | 2015 | 2 |
| 14 | Opportunities or risks to reduce labor in crowdsourcing translation? characterizing cost versus quality via a pagerank-HITS hybrid model | 2015 | 4 |
| 15 | 2014 | 2 | |
| 16 | 2012 | 62 | |
| 17 | 2012 | 6 | |
| 18 | MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages | 2011 | 8 |
| 19 | 2011 | 0 | |
| 20 | 2010 | 88 |
About Cheng–Te Li
Cheng–Te Li is a scholar working on Transportation, Statistical and Nonlinear Physics, Signal Processing, Artificial Intelligence and Information Systems, 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 Ming Zhang. 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.