Tun Lu
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
Papers in
-
- Recommender Systems and Techniques 39
- Service-Oriented Architecture and Web Services 14
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- Topic Modeling 15
- Advanced Graph Neural Networks 10
- Co-authors
- Ning Gu (111 shared papers)Peng Zhang (46 shared papers)Dongsheng Li (37 shared papers)Li Shang (20 shared papers)Qin Lv (11 shared papers)Hansu Gu (47 shared papers)Xianghua Ding (31 shared papers)Dongsheng Li (2 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (9 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (4 papers)ACM Transactions on the Web (4 papers)Knowledge-Based Systems (3 papers)IEEE Transactions on Computational Social Systems (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Tun Lu
133 papers receiving 1.5k citations
Tun Lu's Hit Papers
Peers
Comparison fields: 5 of 146
- Information Systems 697
- Human-Computer Interaction 144
- Computer Science Applications 108
- Artificial Intelligence 566
- Communication 90
Countries citing papers authored by Tun Lu
This map shows the geographic impact of Tun Lu'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 Tun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Lu more than expected).
Fields of papers citing papers by Tun Lu
This network shows the impact of papers produced by Tun Lu. 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 Tun Lu. The network helps show where Tun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tun Lu, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cross-modal Ambiguity Learning for Multimodal Fake News Detection Hit paper breakdown → | 2022 | 194 |
| 2 | 2014 | 90 | |
| 3 | 2016 | 72 | |
| 4 | 2015 | 53 | |
| 5 | 2016 | 49 | |
| 6 | 2017 | 41 | |
| 7 | 2011 | 41 | |
| 8 | 2015 | 39 | |
| 9 | 2014 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2011 | 27 | |
| 12 | 2021 | 27 | |
| 13 | 2016 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2014 | 25 | |
| 16 | 2011 | 24 | |
| 17 | 2017 | 24 | |
| 18 | 2021 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2021 | 21 |
About Tun Lu
Tun Lu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Communication, having authored 147 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (39 papers), Topic Modeling (15 papers), Service-Oriented Architecture and Web Services (14 papers), Advanced Graph Neural Networks (10 papers), Caching and Content Delivery (10 papers), Scientific Computing and Data Management (9 papers), Complex Network Analysis Techniques (9 papers) and Social Media and Politics (9 papers). The work is most often cited by research in Information Systems (697 citations), Human-Computer Interaction (144 citations), Computer Science Applications (108 citations), Artificial Intelligence (566 citations) and Communication (90 citations). Tun Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ning Gu, Peng Zhang, Dongsheng Li, Li Shang, Qin Lv, Hansu Gu, Xianghua Ding, Dongsheng Li, Yixuan Chen and Jie Sui. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on the Web, Knowledge-Based Systems and IEEE Transactions on Computational Social Systems.
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.