Hai‐Kun Wang

43 total papers · 796 total citations
31 papers, 625 citations indexed

About

Hai‐Kun Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hai‐Kun Wang has authored 31 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hai‐Kun Wang's work include Reliability and Maintenance Optimization (6 papers), Energy Load and Power Forecasting (5 papers) and Ultrasound and Cavitation Phenomena (4 papers). Hai‐Kun Wang is often cited by papers focused on Reliability and Maintenance Optimization (6 papers), Energy Load and Power Forecasting (5 papers) and Ultrasound and Cavitation Phenomena (4 papers). Hai‐Kun Wang collaborates with scholars based in China, United States and India. Hai‐Kun Wang's co-authors include J.-C. Peng, Yitao Liu, Ke Song, Yi Cheng, Cheng Yi, Yan‐Feng Li, Chin‐Hui Lee, Yuan‐Jian Yang, Feng Ma and Lei Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Applied Energy.

In The Last Decade

Hai‐Kun Wang

25 papers receiving 601 citations

Hit Papers

Deep belief network based... 2016 2026 2019 2022 2016 100 200 300 400
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep belief network based deterministic and probabilistic wind speed forecasting approach
    2016 427 citations Hai‐Kun Wang, J.-C. Peng et al. Applied Energy profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hai‐Kun Wang 373 220 90 83 75 31 625
Qingxiong Tan 353 0.9× 256 1.2× 54 0.6× 84 1.0× 79 1.1× 16 669
Ahmet Şakir Dokuz 343 0.9× 246 1.1× 85 0.9× 107 1.3× 41 0.5× 31 712
Chao Ren 277 0.7× 143 0.7× 67 0.7× 68 0.8× 76 1.0× 19 610
Harsh S. Dhiman 354 0.9× 167 0.8× 229 2.5× 143 1.7× 89 1.2× 30 792
Antonello Rosato 353 0.9× 254 1.2× 113 1.3× 23 0.3× 43 0.6× 58 647
Zongxi Qu 498 1.3× 209 0.9× 97 1.1× 132 1.6× 134 1.8× 19 697
Nouman Ashraf 498 1.3× 166 0.8× 111 1.2× 85 1.0× 55 0.7× 40 747
Niya Chen 637 1.7× 262 1.2× 127 1.4× 156 1.9× 95 1.3× 17 794
Mao Yang 567 1.5× 253 1.1× 90 1.0× 107 1.3× 38 0.5× 60 738
Jian Zheng 241 0.6× 94 0.4× 107 1.2× 52 0.6× 69 0.9× 57 691

Countries citing papers authored by Hai‐Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai‐Kun Wang

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

All Works

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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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2026