Xinran He
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Information Systems top 2%
- Recommender Systems and Techniques
- Spam and Phishing Detection
Papers in
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- Advanced Graph Neural Networks 4
- Topic Modeling 3
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 7
- Co-authors
- Guojie Song (3 shared papers)Wei Chen (1 shared paper)Qingye Jiang (1 shared paper)David Kempe (4 shared papers)Ou Jin (1 shared paper)Bo Liu (1 shared paper)Joaquin Quiñonero Candela (1 shared paper)Tian-Bing Xu (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (2 papers)Applied Energy (2 papers)Energy Reports (1 paper)New Journal of Chemistry (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Xinran He
29 papers receiving 1.2k citations
Xinran He's Hit Papers
Peers
Comparison fields: 5 of 115
- Statistical and Nonlinear Physics 505
- Information Systems 402
- Computational Mathematics 9
- Management Science and Operations Research 160
- Artificial Intelligence 403
Countries citing papers authored by Xinran He
This map shows the geographic impact of Xinran He'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 Xinran He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinran He more than expected).
Fields of papers citing papers by Xinran He
This network shows the impact of papers produced by Xinran He. 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 Xinran He. The network helps show where Xinran He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinran He, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Practical Lessons from Predicting Clicks on Ads at Facebook Hit paper breakdown → | 2014 | 519 |
| 2 | 2012 | 270 | |
| 3 | 2016 | 64 | |
| 4 | 2015 | 62 | |
| 5 | 2022 | 50 | |
| 6 | 2016 | 47 | |
| 7 | 2014 | 42 | |
| 8 | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades | 2015 | 38 |
| 9 | 2014 | 30 | |
| 10 | 2015 | 27 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Xinran He
Xinran He is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (7 papers), Advanced Graph Neural Networks (4 papers), Electric Power System Optimization (4 papers), Optimal Power Flow Distribution (4 papers), Integrated Energy Systems Optimization (3 papers), Topic Modeling (3 papers) and Power System Reliability and Maintenance (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (505 citations), Information Systems (402 citations), Computational Mathematics (9 citations), Management Science and Operations Research (160 citations) and Artificial Intelligence (403 citations). Xinran He has collaborated with scholars based in United States and China. Frequent co-authors include Guojie Song, Wei Chen, Qingye Jiang, David Kempe, Ou Jin, Bo Liu, Joaquin Quiñonero Candela, Tian-Bing Xu, A. Atallah and Tao Xu. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Applied Energy, Energy Reports, New Journal of Chemistry and IEEE Transactions on Knowledge and Data Engineering.
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.