Xinran He

2.4k citations
31 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Complex Network Analysis Techniques (12 papers)Opinion Dynamics and Social Influence (7 papers)Optimal Power Flow Distribution (4 papers)
Partner nations
United StatesChina

In The Last Decade

Xinran He

29 papers receiving 1.2k citations

Hit Papers

Practical Lessons from Predicting Clicks on Ads at Facebook20142026201820222014100200300400500

Peers

Xinran He
Comparison fields: 5 of 113
  • Statistical and Nonlinear Physics 505
  • Artificial Intelligence 401
  • Information Systems 400
  • Computer Networks and Communications 212
  • Computer Vision and Pattern Recognition 164
Replace Giuseppe Manco with:
Giuseppe Manco Italy
Cheng–Te Li Taiwan
Ron Bekkerman United States
Kazumi Saito Japan
Hongbo Deng China
Sancheng Peng China
Yao Wu China
Christos Makris Greece
Ou Jin China
Yan Fu China
Xinran He relative to Giuseppe Manco Italy Giuseppe Manco's profile →
Citations per field
00.5×1.6×
Giuseppe Manco · 1×
Citations per year

Countries citing papers authored by Xinran He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xinran He

This figure shows the co-authorship network connecting the top 25 collaborators of Xinran He. A scholar is included among the top collaborators of Xinran He 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 Xinran He. Xinran He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 0
5 5
6 8
7 1
8 3
9 9
10 47
11 1
12 7
13 47
14
Model Selection for Topic Models via Spectral Decomposition
3
15
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
38
16 62
17
Practical Lessons from Predicting Clicks on Ads at Facebookbreakdown →
515
18 42
19 4
20 271

About Xinran He

Xinran He is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (7 papers) and Optimal Power Flow Distribution (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (505 citations), Information Systems (400 citations) and Computational Mathematics (9 citations). Xinran He has collaborated with scholars based in United States and China. Frequent co-authors include Guojie Song, Wei Chen, David Kempe, Junfeng Pan, Tian-Bing Xu, Bo Liu, Yanxin Shi, A. Atallah, Tao Xu and Ou Jin. Their work appears in journals such as Applied Energy, IEEE Transactions on Power Systems and Renewable Energy.

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.

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