Zhuoren Jiang
- Artificial Intelligence top 5%
- Topic Modeling 22
- Advanced Text Analysis Techniques 10
- Advanced Graph Neural Networks 8
- Text and Document Classification Technologies 7
- Sentiment Analysis and Opinion Mining 6
- Computer Science Applications top 10%
- Media Technology top 10%
- Information Systems top 10%
- Recommender Systems and Techniques 7
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- Complex Network Analysis Techniques 8
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- Mathematics, Computing, and Information Processing 6
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Information Processing & Management (5 papers)Scientometrics (1 paper)Proceedings of the American Society for Information Science and Technology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhuoren Jiang
49 papers receiving 491 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 302
- Computer Vision and Pattern Recognition 189
- Computer Science Applications 28
- Media Technology 45
- Information Systems 98
Countries citing papers authored by Zhuoren Jiang
This map shows the geographic impact of Zhuoren Jiang'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 Zhuoren Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuoren Jiang more than expected).
Fields of papers citing papers by Zhuoren Jiang
This network shows the impact of papers produced by Zhuoren Jiang. 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 Zhuoren Jiang. The network helps show where Zhuoren Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhuoren Jiang, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 6 | |
| 12 | 2021 | 4 | |
| 13 | An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds. | 2018 | 2 |
| 14 | 2017 | 20 | |
| 15 | 2017 | 62 | |
| 16 | 2017 | 1 | |
| 17 | The Math Retrieval System of ICST for NTCIR-12 MathIR Task. | 2016 | 7 |
| 18 | Random Walk and Feedback on Scholarly Network. | 2015 | 0 |
| 19 | 2014 | 2 | |
| 20 | Citation Recommendation via Time-series Scholarly Topic Analysis and Publication Prior Analysis. | 2013 | 1 |
About Zhuoren Jiang
Zhuoren Jiang is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 56 papers that have together received 521 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Advanced Text Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (7 papers), Text and Document Classification Technologies (7 papers), Mathematics, Computing, and Information Processing (6 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Artificial Intelligence (302 citations), Computer Vision and Pattern Recognition (189 citations) and Computer Science Applications (28 citations). Zhuoren Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liangcai Gao, Xiaozhong Liu, Zhi Tang, Xiaohan Yi, Yangyang Kang, Changlong Sun, Yao Lu, Yuan Liao, Yao Lu and Runtao Liu. Their work appears in journals such as Information Processing & Management, Scientometrics, Proceedings of the American Society for Information Science and Technology, Journal of the Association for Information Science and Technology and Journal of Informetrics.
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.