Pin Lv
Impact in
- Orthodontics top 5%
- Dental materials and restorations
-
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Topic Modeling 7
- Privacy-Preserving Technologies in Data 6
- Advanced Graph Neural Networks 5
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- Wireless Networks and Protocols 7
- Mobile Ad Hoc Networks 5
- Co-authors
- Jia Xu (23 shared papers)Deke Guo (7 shared papers)Ming Xu (6 shared papers)Junjie Xie (1 shared paper)Xudong Wang (5 shared papers)Ming Xu (4 shared papers)Ting Jiang (4 shared papers)Jinfang Zhang (2 shared papers)
- Journals
- Knowledge-Based Systems (4 papers)IEEE Internet of Things Journal (3 papers)Computer Applications in Engineering Education (2 papers)Tsinghua Science & Technology (2 papers)Materials (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Pin Lv
123 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 166
- Orthodontics 75
- Computer Science Applications 82
- Computer Networks and Communications 266
- Neurology 74
- Artificial Intelligence 259
Countries citing papers authored by Pin Lv
This map shows the geographic impact of Pin 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 Pin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Lv more than expected).
Fields of papers citing papers by Pin Lv
This network shows the impact of papers produced by Pin 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 Pin Lv. The network helps show where Pin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 108 | |
| 2 | 2015 | 107 | |
| 3 | 2016 | 69 | |
| 4 | 2020 | 50 | |
| 5 | 2022 | 48 | |
| 6 | 2009 | 39 | |
| 7 | 2021 | 38 | |
| 8 | 2015 | 37 | |
| 9 | 2014 | 34 | |
| 10 | 2022 | 34 | |
| 11 | 2022 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2017 | 33 | |
| 14 | 2022 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2012 | 28 | |
| 17 | The therapeutic effect and possible harm of puerarin for treatment of stage III diabetic nephropathy: a meta-analysis. | 2015 | 26 |
| 18 | 2012 | 24 | |
| 19 | 2018 | 24 | |
| 20 | 2021 | 24 |
About Pin Lv
Pin Lv is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 144 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Wireless Networks and Protocols (7 papers), Recommender Systems and Techniques (6 papers), Privacy-Preserving Technologies in Data (6 papers), Online Learning and Analytics (6 papers), Advanced Graph Neural Networks (5 papers), Mobile Ad Hoc Networks (5 papers) and Dental materials and restorations (5 papers). The work is most often cited by research in Orthodontics (75 citations), Computer Science Applications (82 citations), Computer Networks and Communications (266 citations), Neurology (74 citations) and Artificial Intelligence (259 citations). Pin Lv has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jia Xu, Deke Guo, Ming Xu, Junjie Xie, Xudong Wang, Ming Xu, Ting Jiang, Jinfang Zhang, Xin Yang and Yishi Shi. Their work appears in journals such as Knowledge-Based Systems, IEEE Internet of Things Journal, Computer Applications in Engineering Education, Tsinghua Science & Technology and Materials.
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.