Dong Wang

6.7k total citations
295 papers, 4.1k citations indexed

About

Dong Wang is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dong Wang has authored 295 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Artificial Intelligence, 96 papers in Computer Science Applications and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dong Wang's work include Mobile Crowdsensing and Crowdsourcing (94 papers), Topic Modeling (45 papers) and Human Mobility and Location-Based Analysis (44 papers). Dong Wang is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (94 papers), Topic Modeling (45 papers) and Human Mobility and Location-Based Analysis (44 papers). Dong Wang collaborates with scholars based in United States, China and United Kingdom. Dong Wang's 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 and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Dong Wang

271 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong Wang United States 33 1.7k 1.5k 746 651 648 295 4.1k
Daniel Kifer United States 35 6.1k 3.5× 996 0.7× 412 0.6× 2.8k 4.2× 947 1.5× 98 7.5k
Suresh Venkatasubramanian United States 27 3.8k 2.2× 473 0.3× 120 0.2× 1.4k 2.1× 751 1.2× 114 6.0k
Rui Zhang China 38 2.5k 1.4× 320 0.2× 555 0.7× 393 0.6× 1.2k 1.8× 357 6.0k
Jianliang Xu Hong Kong 44 2.3k 1.3× 311 0.2× 382 0.5× 407 0.6× 1.3k 2.1× 353 6.0k
Lars Schmidt-Thieme Germany 32 3.6k 2.1× 516 0.3× 547 0.7× 193 0.3× 4.2k 6.5× 156 6.5k
H. Brendan McMahan United States 19 7.5k 4.3× 987 0.7× 162 0.2× 812 1.2× 1.1k 1.8× 30 8.9k
Anna Monreale Italy 22 2.6k 1.5× 119 0.1× 612 0.8× 253 0.4× 401 0.6× 82 4.3k
Sasu Tarkoma Finland 37 994 0.6× 259 0.2× 610 0.8× 248 0.4× 1.0k 1.6× 333 6.0k
Nicholas Jing Yuan China 34 2.1k 1.2× 131 0.1× 1.5k 2.1× 180 0.3× 1.7k 2.6× 80 4.7k
Xiaofeng Gao China 29 698 0.4× 642 0.4× 277 0.4× 155 0.2× 558 0.9× 262 3.0k

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-authorship network of co-authors of Dong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Wang. A scholar is included among the top collaborators of Dong Wang 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 Dong Wang. Dong Wang 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
1.
Zhang, Yang, et al.. (2025). Modality Interactive Mixture-of-Experts for Fake News Detection. 5139–5150. 2 indexed citations
2.
Shang, Lanyu, et al.. (2025). MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok. IEEE Transactions on Big Data. 11(5). 2471–2488. 3 indexed citations
3.
Li, Rongyan, et al.. (2024). Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach. Advanced Engineering Informatics. 62. 102714–102714. 5 indexed citations
4.
Zhou, Cong, Sihang Zhou, Huang Jian, & Dong Wang. (2024). Hierarchical Self-Supervised Learning for Knowledge-Aware Recommendation. Applied Sciences. 14(20). 9394–9394. 2 indexed citations
5.
Yue, Zhenrui, et al.. (2024). Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. 5628–5643. 7 indexed citations
6.
Yue, Zhenrui, et al.. (2024). PEZy-miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates. Metabolic Engineering Communications. 19. e00248–e00248. 7 indexed citations
7.
Zeng, Huimin, Zhankui He, Zhenrui Yue, Julian McAuley, & Dong Wang. (2024). Fair Sequential Recommendation without User Demographics. 395–404.
8.
Shang, Lanyu, Yang Zhang, Zhenrui Yue, et al.. (2024). MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. 4653–4663. 2 indexed citations
9.
Zeng, Huimin, Zhenrui Yue, Lanyu Shang, Yang Zhang, & Dong Wang. (2024). Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19. IEEE Transactions on Emerging Topics in Computing. 12(4). 1105–1116. 7 indexed citations
10.
Zhang, Yang, et al.. (2023). A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications. Knowledge-Based Systems. 278. 110864–110864. 9 indexed citations
11.
Zeng, Huimin, Zhenrui Yue, Ziyi Kou, et al.. (2023). Fairness-aware training of face attribute classifiers via adversarial robustness. Knowledge-Based Systems. 264. 110356–110356. 2 indexed citations
12.
Ren, Yizhi, et al.. (2023). EABERT: An Event Annotation Enhanced BERT Framework for Event Extraction. Mobile Networks and Applications. 28(5). 1818–1830. 2 indexed citations
13.
Shang, Lanyu, Yang Zhang, Quanhui Ye, et al.. (2023). CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation. Pervasive and Mobile Computing. 92. 101788–101788. 2 indexed citations
14.
15.
Yan, Shuicheng, et al.. (2023). A Crowd–AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 198–210. 1 indexed citations
16.
Zeng, Huimin, Zhenrui Yue, Yang Zhang, Lanyu Shang, & Dong Wang. (2023). Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. 3114–3123.
17.
18.
Zhang, Yang, et al.. (2021). On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowledge-Based Systems. 239. 107984–107984. 5 indexed citations
19.
Shang, Lanyu, et al.. (2020). CaMR: Towards Connotation-aware Music Retrieval on Social Media with Visual Inputs. Research Portal (Queen's University Belfast). 425–429. 6 indexed citations
20.
Zhang, Daniel, Yue Ma, Xiaobo Sharon Hu, & Dong Wang. (2020). Toward Privacy-Aware Task Allocation in Social Sensing-Based Edge Computing Systems. IEEE Internet of Things Journal. 7(12). 11384–11400. 22 indexed citations

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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