Jian Yin
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 0.5%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Topics
- Topic Modeling (35 papers)Natural Language Processing Techniques (22 papers)Data Management and Algorithms (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jian Yin
152 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 1.3k
- Information Systems 849
- Signal Processing 357
- Computer Networks and Communications 247
Countries citing papers authored by Jian Yin
This map shows the geographic impact of Jian Yin'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 Jian Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Yin more than expected).
Fields of papers citing papers by Jian Yin
This network shows the impact of papers produced by Jian Yin. 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 Jian Yin. The network helps show where Jian Yin may publish in the future.
Co-authorship network of co-authors of Jian Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Yin. A scholar is included among the top collaborators of Jian Yin 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 Jian Yin. Jian Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 100 | |
| 8 | 46 | |
| 9 | A New Multi-choice Reading Comprehension Dataset for Curriculum Learning. | 9 |
| 10 | Fashion Editing with Multi-scale Attention Normalization. | 3 |
| 11 | Neural Math Word Problem Solver with Reinforcement Learning | 41 |
| 12 | Dialog-to-action: conversational question answering over a large-scale knowledge base | 43 |
| 13 | 83 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | Multibiometric Fusion Based on FAR and FRR | 1 |
| 17 | An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene | 1 |
| 18 | Optimized Item-based Collaborative Filtering Recommendation Algorithm | 1 |
| 19 | An Association Rule Mining Algorithm Privacy Preserving | 1 |
| 20 | 2 |
About Jian Yin
Jian Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 162 papers that have together received 3.4k indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Natural Language Processing Techniques (22 papers) and Data Management and Algorithms (15 papers). The work is most often cited by research in Computational Mathematics (61 citations), Computer Vision and Pattern Recognition (1.3k citations) and Artificial Intelligence (1.8k citations). Jian Yin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yan Pan, Lei Du, Nan Duan, Ming Zhou, Daya Guo, Jiahai Wang, Shuai Lu, Yanlin Wang, Hanjiang Lai and Duyu Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.