Yuanhua Lv
Impact in
- Information Systems top 1%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
Papers in
-
- Information Retrieval and Search Behavior 20
- Web Data Mining and Analysis 9
- Recommender Systems and Techniques 5
- Expert finding and Q&A systems 4
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- Topic Modeling 21
- Natural Language Processing Techniques 6
- Co-authors
- ChengXiang Zhai (14 shared papers)Philip S. Yu (6 shared papers)Jiawei Zhang (4 shared papers)Wan Chen (2 shared papers)Yi Chang (1 shared paper)Nan Duan (3 shared papers)Duyu Tang (3 shared papers)Zhaohui Zheng (1 shared paper)
- Journals
- Information Retrieval (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM SIGIR Forum (1 paper)Agriculture (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yuanhua Lv
36 papers receiving 978 citations
Peers
Comparison fields: 5 of 58
- Information Systems 628
- Artificial Intelligence 757
- Computer Vision and Pattern Recognition 223
- Signal Processing 108
- Management Science and Operations Research 76
Countries citing papers authored by Yuanhua Lv
This map shows the geographic impact of Yuanhua Lv'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 Yuanhua Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanhua Lv more than expected).
Fields of papers citing papers by Yuanhua Lv
This network shows the impact of papers produced by Yuanhua Lv. 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 Yuanhua Lv. The network helps show where Yuanhua Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuanhua Lv, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2010 | 127 | |
| 3 | 2009 | 118 | |
| 4 | 2011 | 81 | |
| 5 | 2011 | 66 | |
| 6 | 2009 | 63 | |
| 7 | 2011 | 61 | |
| 8 | 2018 | 41 | |
| 9 | 2011 | 30 | |
| 10 | 2017 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2018 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2015 | 24 | |
| 15 | 2014 | 22 | |
| 16 | 2015 | 20 | |
| 17 | 2015 | 17 | |
| 18 | 2012 | 16 | |
| 19 | 2006 | 16 | |
| 20 | 2016 | 9 |
About Yuanhua Lv
Yuanhua Lv is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Information Retrieval and Search Behavior (20 papers), Web Data Mining and Analysis (9 papers), Natural Language Processing Techniques (6 papers), Recommender Systems and Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Complex Network Analysis Techniques (5 papers) and Expert finding and Q&A systems (4 papers). The work is most often cited by research in Information Systems (628 citations), Artificial Intelligence (757 citations), Computer Vision and Pattern Recognition (223 citations), Signal Processing (108 citations) and Management Science and Operations Research (76 citations). Yuanhua Lv has collaborated with scholars based in United States, China and Italy. Frequent co-authors include ChengXiang Zhai, Philip S. Yu, Jiawei Zhang, Wan Chen, Yi Chang, Nan Duan, Duyu Tang, Zhaohui Zheng, Pranam Kolari and Taesup Moon. Their work appears in journals such as Information Retrieval, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, ACM SIGIR Forum and Agriculture.
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.