Cheng-Te Li

2.9k citations
150 papers · 2.1k · 1 hit paper · h-index 25

Impact in

Papers in

Cheng-Te Li

143 papers receiving 2.0k citations

Cheng-Te Li's Hit Papers

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media 2020 · 306 citations
3060+2+4Years since publication100200300

Peers

Cheng-Te Li
Comparison fields: 5 of 103
  • Transportation 250
  • Statistical and Nonlinear Physics 462
  • Artificial Intelligence 1.0k
  • Information Systems 693
  • Computer Science Applications 156
Replace Theodoros Lappas with:
Theodoros Lappas United States
Ludovico Boratto Italy
Ju Fan China
Bee-Chung Chen United States
Yao Wu China
Zhixu Li China
Xiuzhen (Jenny) Zhang Australia
Adam Marcus United States
Magdalini Eirinaki United States
Cheng-Te Li relative to Theodoros Lappas United States Theodoros Lappas's profile →
Citations per field
00.5×1.5×2.2×
Theodoros Lappas · 1×
Citations per year

Countries citing papers authored by Cheng-Te Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cheng-Te Li Line = papers co-authored together Cheng-Te Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Hit paper breakdown →
2020306
2 2010104
3 201888
4 201272
5 202163
6 202159
7 202155
8 201343
9 202242
10 201141
11 201939
12 202237
13 201736
14 201234
15 202133
16 200732
17 201632
18 201128
19 202028
20 201827

About Cheng-Te Li

Cheng-Te Li is a scholar working on Transportation, Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems and Signal Processing, having authored 150 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (52 papers), Human Mobility and Location-Based Analysis (43 papers), Advanced Graph Neural Networks (31 papers), Recommender Systems and Techniques (19 papers), Topic Modeling (17 papers), Data Management and Algorithms (15 papers), Opinion Dynamics and Social Influence (12 papers) and Spam and Phishing Detection (12 papers). The work is most often cited by research in Transportation (250 citations), Statistical and Nonlinear Physics (462 citations), Artificial Intelligence (1.0k citations), Information Systems (693 citations) and Computer Science Applications (156 citations). Cheng-Te Li has collaborated with scholars based in Taiwan, China and United States. 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, Yiping Song and Meeyoung Cha. 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.

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