Jianghao Lin
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Computer Networks and Communications
- Topics
- Recommender Systems and Techniques (17 papers)Topic Modeling (14 papers)Advanced Graph Neural Networks (9 papers)
- Journals
- ACM Transactions on Information SystemsIEEE Transactions on Automation Science and EngineeringFrontiers of Computer Science
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jianghao Lin
16 papers receiving 221 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Information Systems 165
- Artificial Intelligence 162
- Computer Vision and Pattern Recognition 43
- Management Science and Operations Research 24
- Computer Networks and Communications 10
Countries citing papers authored by Jianghao Lin
This map shows the geographic impact of Jianghao Lin'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 Jianghao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianghao Lin more than expected).
Fields of papers citing papers by Jianghao Lin
This network shows the impact of papers produced by Jianghao Lin. 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 Jianghao Lin. The network helps show where Jianghao Lin may publish in the future.
Co-authorship network of co-authors of Jianghao Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Jianghao Lin. A scholar is included among the top collaborators of Jianghao Lin 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 Jianghao Lin. Jianghao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | How Can Recommender Systems Benefit from Large Language Models: A Surveybreakdown → | 53 |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 14 | |
| 19 | 28 | |
| 20 | 8 |
About Jianghao Lin
Jianghao Lin is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 223 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Topic Modeling (14 papers) and Advanced Graph Neural Networks (9 papers). The work is most often cited by research in Information Systems (165 citations), Artificial Intelligence (162 citations) and Computer Vision and Pattern Recognition (43 citations). Jianghao Lin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Weinan Zhang, Ruiming Tang, Yong Yu, Weiwen Liu, Bo Chen, Xinyi Dai, Chenxu Zhu, Jieming Zhu, Hong Zhu and Xiangyang Li. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Automation Science and Engineering and Frontiers of Computer Science.
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.