Zhuoye Ding
- Artificial Intelligence top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (12 papers)Recommender Systems and Techniques (11 papers)
- Journals
- NeurocomputingAI MagazineNeural Information Processing Systems
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Zhuoye Ding
35 papers receiving 651 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 434
- Information Systems 429
- Management Science and Operations Research 136
- Computer Vision and Pattern Recognition 132
- Computer Networks and Communications 58
Countries citing papers authored by Zhuoye Ding
This map shows the geographic impact of Zhuoye Ding'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 Zhuoye Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuoye Ding more than expected).
Fields of papers citing papers by Zhuoye Ding
This network shows the impact of papers produced by Zhuoye Ding. 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 Zhuoye Ding. The network helps show where Zhuoye Ding may publish in the future.
Co-authorship network of co-authors of Zhuoye Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoye Ding. A scholar is included among the top collaborators of Zhuoye Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhuoye Ding. Zhuoye Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | Learning to Generate Visual Questions with Noisy Supervision | 4 |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 64 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 37 | |
| 15 | 16 | |
| 16 | Detecting Spammers in Community Question Answering | 2 |
| 17 | Learning topical translation model for microblog hashtag suggestion | 54 |
| 18 | Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model | 26 |
| 19 | Keyphrase Extraction from Online News Using Binary Integer Programming | 12 |
| 20 | HMM and CRF Based Hybrid Model for Chinese Lexical Analysis | 2 |
About Zhuoye Ding
Zhuoye Ding is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 670 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Recommender Systems and Techniques (11 papers). The work is most often cited by research in Information Systems (429 citations), Artificial Intelligence (434 citations) and Management Science and Operations Research (136 citations). Zhuoye Ding has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dawei Yin, Lixin Zou, Yulong Gu, Shuaiqiang Wang, Jiliang Tang, Weidong Liu, Jiaxing Song, Long Xia, Qi Zhang and Xuanjing Huang. Their work appears in journals such as Neurocomputing, AI Magazine and Neural Information Processing 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.