Chi Wang

1.6k citations
23 papers · 1.0k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Chi Wang

22 papers receiving 982 citations

Hit Papers

Social influence analysis in large-scale networks 2009 · 616 citations
6160+5+11Years since publication200400600

Peers

Chi Wang
Comparison fields: 5 of 121
  • Statistical and Nonlinear Physics 466
  • Process Chemistry and Technology 45
  • Artificial Intelligence 403
  • Information Systems 222
  • Communication 64
Replace Kazumi Saito with:
Kazumi Saito Japan
Masashi Toyoda Japan
Pankaj Gupta United States
Kaize Ding United States
Shashank Sheshar Singh India
Kuldeep Singh India
Sayan Ranu India
Junjie Wu China
Purnamrita Sarkar United States
Xiaohua Liu China
Chi Wang relative to Kazumi Saito Japan Kazumi Saito's profile →
Citations per field
00.5×10×20×30×40×45×
Kazumi Saito · 1×
Citations per year

Countries citing papers authored by Chi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chi Wang Line = papers co-authored together Chi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social influence analysis in large-scale networks
Hit paper breakdown →
2009616
2 201660
3 200354
4
Pervasive and Mobile Computing
201552
5 201537
6 201635
7 199132
8 202121
9 201620
10 202219
11 200416
12 201512
13 201410
14 20185
15 20125
16 20133
17 20193
18 20232
19 20252
20 20202

About Chi Wang

Chi Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Signal Processing and Information Systems, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (5 papers), Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (4 papers), Caching and Content Delivery (2 papers), Odor and Emission Control Technologies (2 papers), Toxic Organic Pollutants Impact (2 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (466 citations), Process Chemistry and Technology (45 citations), Artificial Intelligence (403 citations), Information Systems (222 citations) and Communication (64 citations). Chi Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jie Tang, Jimeng Sun, Zi Yang, Adrian Williams, Surajit Chaudhuri, Kaushik Chakrabarti, Silu Huang, Bolin Ding, Shuxun Cui and Zhiqiang Wang. Their work appears in journals such as Atmospheric Environment, Scientific Reports, Analytica Chimica Acta, Journal of Multivariate Analysis and Discrete Applied Mathematics.

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.

Explore authors with similar magnitude of impact