Tiancheng Lou

1.5k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 9
Topics
Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (7 papers)Advanced Graph Neural Networks (3 papers)

In The Last Decade

Tiancheng Lou

14 papers receiving 1.0k citations

Hit Papers

Inferring Social Status and Rich Club Effects in Enterpri...20152026201820222015100200300400

Peers

Tiancheng Lou
Comparison fields: 5 of 167
  • Statistical and Nonlinear Physics 492
  • Artificial Intelligence 311
  • Information Systems 149
  • Molecular Biology 141
  • Computer Networks and Communications 131
Replace Michael Fire with:
Michael Fire Israel
Qian-Ming Zhang China
Shi‐Min Cai China
Jinshan Wu China
Zhao Yang China
Jianhong Lin China
Jeongkyu Lee United States
Kun Zhao China
Tiancheng Lou relative to Michael Fire Israel Michael Fire's profile →
Citations per field
00.5×2.9×
Michael Fire · 1×
Citations per year

Countries citing papers authored by Tiancheng Lou

Since Specialization
Citations

This map shows the geographic impact of Tiancheng Lou'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 Tiancheng Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiancheng Lou more than expected).

Fields of papers citing papers by Tiancheng Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiancheng Lou. 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 Tiancheng Lou. The network helps show where Tiancheng Lou may publish in the future.

Co-authorship network of co-authors of Tiancheng Lou

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 2
3 40
4
Inferring Social Status and Rich Club Effects in Enterprise Communication Networksbreakdown →
402
5
3
6 117
7 80
8 5
9 208
10 26
11 9
12 44
13 122
14 2

About Tiancheng Lou

Tiancheng Lou is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (492 citations), Transportation (73 citations) and Artificial Intelligence (311 citations). Tiancheng Lou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Tang, Jon Kleinberg, John E. Hopcroft, Yuxiao Dong, Yang Yang, Nitesh V. Chawla, Bai Wang, Xiaowen Ding, Zhanpeng Fang and Sen Wu. Their work appears in journals such as PLoS ONE, Theoretical Computer Science and ACM Transactions on Information Systems.

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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