Hang Li
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Information Systems top 0.5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 12
- Text and Document Classification Technologies 10
- Advanced Graph Neural Networks 7
-
- Information Retrieval and Search Behavior 22
- Web Data Mining and Analysis 17
- Recommender Systems and Techniques 14
- Co-authors
- Zhengdong Lu (6 shared papers)Jiatao Gu (1 shared paper)Victor O. K. Li (1 shared paper)Jun Xu (9 shared papers)Tie‐Yan Liu (10 shared papers)Tao Qin (5 shared papers)Daxin Jiang (5 shared papers)Jian Pei (4 shared papers)
- Journals
- Information Retrieval (3 papers)Information Processing & Management (3 papers)ACM Transactions on Information Systems (2 papers)IEEE Intelligent Systems (2 papers)ACM SIGIR Forum (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hang Li
80 papers receiving 3.1k citations
Hang Li's Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 2.3k
- Information Systems 1.3k
- Computer Science Applications 211
- Computer Vision and Pattern Recognition 653
- Signal Processing 226
Countries citing papers authored by Hang Li
This map shows the geographic impact of Hang Li'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 Hang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Li more than expected).
Fields of papers citing papers by Hang Li
This network shows the impact of papers produced by Hang Li. 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 Hang Li. The network helps show where Hang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Li, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Incorporating Copying Mechanism in Sequence-to-Sequence Learning Hit paper breakdown → | 2016 | 803 |
| 2 | 2009 | 283 | |
| 3 | 2011 | 203 | |
| 4 | 2011 | 172 | |
| 5 | 2012 | 115 | |
| 6 | 2008 | 111 | |
| 7 | 2020 | 107 | |
| 8 | 2014 | 104 | |
| 9 | 2010 | 104 | |
| 10 | 2009 | 82 | |
| 11 | Research on Expert Search at Enterprise Track of TREC 2005. | 2005 | 70 |
| 12 | 2015 | 52 | |
| 13 | 2020 | 50 | |
| 14 | 2008 | 48 | |
| 15 | 2002 | 44 | |
| 16 | 2018 | 42 | |
| 17 | 2018 | 41 | |
| 18 | 2008 | 40 | |
| 19 | 2012 | 39 | |
| 20 | Coverage-based Neural Machine Translation. | 2016 | 37 |
About Hang Li
Hang Li is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology, having authored 83 papers that have together received 3.3k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Information Retrieval and Search Behavior (22 papers), Web Data Mining and Analysis (17 papers), Recommender Systems and Techniques (14 papers), Natural Language Processing Techniques (12 papers), Text and Document Classification Technologies (10 papers), Advanced Graph Neural Networks (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Information Systems (1.3k citations), Computer Science Applications (211 citations), Computer Vision and Pattern Recognition (653 citations) and Signal Processing (226 citations). Hang Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengdong Lu, Jiatao Gu, Victor O. K. Li, Jun Xu, Tie‐Yan Liu, Tao Qin, Daxin Jiang, Jian Pei, Kenji Yamanishi and Yunbo Cao. Their work appears in journals such as Information Retrieval, Information Processing & Management, ACM Transactions on Information Systems, IEEE Intelligent Systems and ACM SIGIR Forum.
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.