Dan Wang

14.4k total citations · 2 hit papers
598 papers, 8.8k citations indexed

About

Dan Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dan Wang has authored 598 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Computer Networks and Communications, 135 papers in Electrical and Electronic Engineering and 106 papers in Artificial Intelligence. Recurrent topics in Dan Wang's work include Energy Efficient Wireless Sensor Networks (43 papers), Building Energy and Comfort Optimization (35 papers) and Smart Grid Energy Management (32 papers). Dan Wang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (43 papers), Building Energy and Comfort Optimization (35 papers) and Smart Grid Energy Management (32 papers). Dan Wang collaborates with scholars based in China, Hong Kong and United States. Dan Wang's co-authors include Iis Tussyadiah, Timothy Jung, M. Claudia tom Dieck, Jiangchuan Liu, Chuang Hu, Liang Zhang, Yi Shang, Mingwei Xu, Qian Zhang and Wei Bao and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Dan Wang

534 papers receiving 8.5k citations

Hit Papers

Virtual reality, presence, and attitude change: Empi... 2011 2026 2016 2021 2017 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Virtual reality, presence, and attitude change: Empirical evidence from tourism
    2017 743 citations Dan Wang et al. profile →
  2. Cloud Task Scheduling Based on Load Balancing Ant Colony Optimization
    2011 283 citations Dan Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Wang China 44 2.8k 2.0k 1.1k 988 825 598 8.8k
Praveen Kumar Reddy Maddikunta India 48 2.7k 1.0× 1.4k 0.7× 3.3k 2.9× 1.9k 1.9× 326 0.4× 128 9.9k
Dimitrios Tzovaras Greece 44 1.1k 0.4× 1.1k 0.6× 1.1k 1.0× 1.0k 1.0× 731 0.9× 766 9.1k
Juan M. Corchado Spain 58 2.0k 0.7× 1.9k 1.0× 2.6k 2.3× 1.6k 1.6× 557 0.7× 605 11.7k
Anand Nayyar Vietnam 46 2.2k 0.8× 1.7k 0.9× 1.6k 1.4× 1.5k 1.6× 287 0.3× 312 7.7k
Sasu Tarkoma Finland 37 3.0k 1.1× 1.5k 0.8× 994 0.9× 1.0k 1.0× 231 0.3× 333 6.0k
Jayavardhana Gubbi Australia 21 5.3k 1.9× 2.5k 1.3× 1.2k 1.0× 2.0k 2.1× 433 0.5× 89 9.9k
G. M. P. O’Hare Ireland 35 1.7k 0.6× 1.2k 0.6× 919 0.8× 337 0.3× 314 0.4× 313 5.1k
Wei Wang China 52 1.4k 0.5× 1.5k 0.8× 3.2k 2.8× 2.1k 2.1× 574 0.7× 735 11.6k
Seungmin Rho South Korea 44 1.9k 0.7× 2.1k 1.1× 1.8k 1.5× 1.0k 1.0× 766 0.9× 329 7.6k
Xiao Wang China 42 938 0.3× 1.0k 0.5× 1.8k 1.6× 1.1k 1.1× 716 0.9× 394 7.3k

Countries citing papers authored by Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wang. A scholar is included among the top collaborators of Dan 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 Dan Wang. Dan 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.
Wang, Dan & Yao Lin. (2025). A comprehensive review on definitions, development, and policies of net-zero carbon buildings (nZCBs). Renewable and Sustainable Energy Reviews. 217. 115750–115750. 5 indexed citations
2.
3.
Wang, Dan, et al.. (2025). Bilevel Optimization for Provisioning Heterogeneous Traffic in Deterministic Networks. IEEE Transactions on Network and Service Management. 22(4). 3295–3308.
4.
Zhang, Le, et al.. (2024). Microplastics distribution and pollution characterization in two typical wetlands on the Qinghai-Tibet Plateau, China. Journal of Cleaner Production. 486. 144455–144455. 4 indexed citations
5.
6.
Wang, Dan, et al.. (2024). The influence of water conservancy project on microplastics distribution in river ecosystem: A case study of Lhasa River Basin in Qinghai-Tibet Plateau. Journal of Hazardous Materials. 480. 136472–136472. 4 indexed citations
7.
8.
Wang, Dan, et al.. (2024). A prototype-assisted clustered federated learning for big data security and privacy preservation. Future Generation Computer Systems. 161. 376–389. 2 indexed citations
9.
Wang, Dan, et al.. (2024). HDHRFL: A hierarchical robust federated learning framework for dual-heterogeneous and noisy clients. Future Generation Computer Systems. 160. 185–196. 5 indexed citations
10.
Wang, Dan, et al.. (2024). RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning. Neurocomputing. 597. 127956–127956. 2 indexed citations
11.
Shi, Jian, et al.. (2024). Net-Zero Scheduling of Multi-Energy Building Energy Systems: A Learning-Based Robust Optimization Approach With Statistical Guarantees. IEEE Transactions on Sustainable Energy. 15(4). 2675–2689. 4 indexed citations
12.
13.
Hai, Tao, Jincheng Zhou, Ye Lu, et al.. (2023). An archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm. Journal of Cloud Computing Advances Systems and Applications. 12(1). 8 indexed citations
14.
Wang, Dan, et al.. (2023). Field test of Model Predictive Control in residential buildings for utility cost savings. Energy and Buildings. 288. 113026–113026. 40 indexed citations
15.
Wang, Dan, Fangqi Chen, Zhifeng Hao, & Marian Wiercigroch. (2023). Nonlinear energy harvesting from rotating system. Communications in Nonlinear Science and Numerical Simulation. 127. 107521–107521. 5 indexed citations
16.
Zhang, Chong, et al.. (2023). Large-scale comparison and demonstration of continual learning for adaptive data-driven building energy prediction. Applied Energy. 347. 121481–121481. 15 indexed citations
17.
Xie, Fei, Dan Wang, Dongxu Sun, et al.. (2023). Analysis of heat exchanger corrosion failure in 800,000 light hydrocarbon plant in Liaohe Oilfield. Engineering Failure Analysis. 151. 107348–107348. 10 indexed citations
18.
Zhao, Yi, Meina Qiao, Haiyang Wang, et al.. (2022). Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework. IEEE/ACM Transactions on Networking. 31(2). 542–557. 1 indexed citations
19.
Wang, Dan, et al.. (2019). Calibration of triaxial magnetometer with ellipsoid fitting method. IOP Conference Series Earth and Environmental Science. 237. 32015–32015. 12 indexed citations
20.
Zhang, Liang, et al.. (2014). Strategy-proof thermal comfort voting in buildings. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 56. 160–163.

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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