Dong Wang

6.7k citations
295 papers · 4.1k · h-index 33

Impact in

Papers in

Dong Wang

271 papers receiving 3.9k citations

Peers

Dong Wang
Comparison fields: 5 of 146
  • Computer Science Applications 1.5k
  • Transportation 746
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 622
  • Information Systems 648
Replace Daniel Kifer with:
Daniel Kifer United States
Rui Zhang China
Liang Wang China
Jianliang Xu Hong Kong
Yong Liu China
Sasu Tarkoma Finland
Suresh Venkatasubramanian United States
Hao Peng China
Bo Liu China
Raymond Chi-Wing Wong Hong Kong
Dong Wang relative to Daniel Kifer United States Daniel Kifer's profile →
Citations per field
00.5×1.5×1.8×
Daniel Kifer · 1×
Citations per year

Countries citing papers authored by Dong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dong 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 Dong Wang Line = papers co-authored together Dong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 295 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012275
2 2014124
3
Social Sensing: Building Reliable Systems on Unreliable Data
2015112
4 201399
5 201579
6 201376
7 202067
8 201867
9 201467
10 201664
11 202160
12 201257
13 201956
14 201450
15 201749
16 201847
17 202147
18 202047
19 201346
20 201846

About Dong Wang

Dong Wang is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 295 papers that have together received 4.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (94 papers), Topic Modeling (45 papers), Human Mobility and Location-Based Analysis (44 papers), Misinformation and Its Impacts (33 papers), Anomaly Detection Techniques and Applications (27 papers), Data-Driven Disease Surveillance (22 papers), Complex Network Analysis Techniques (21 papers) and Natural Language Processing Techniques (19 papers). The work is most often cited by research in Computer Science Applications (1.5k citations), Transportation (746 citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (622 citations) and Information Systems (648 citations). Dong Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel Zhang, Tarek Abdelzaher, Lance Kaplan, Yang Zhang, Lanyu Shang, Md Tahmid Rashid, Hieu Le, Ziyi Kou, Chao Huang and Nathan Vance. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Big Data, Pervasive and Mobile Computing, Proceedings of the ACM on Human-Computer Interaction and IEEE Access.

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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