Chengkun Wang

426 total citations
27 papers, 320 citations indexed

About

Chengkun Wang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chengkun Wang has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chengkun Wang's work include Advancements in Solid Oxide Fuel Cells (5 papers), Water Treatment and Disinfection (5 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). Chengkun Wang is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (5 papers), Water Treatment and Disinfection (5 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). Chengkun Wang collaborates with scholars based in China, Japan and United States. Chengkun Wang's co-authors include Xiaojian Zhang, Chao Chen, Jun Wang, Wenzhao Zheng, Jiwen Lu, Jie Zhou, Takuya Hashimoto, Peijiang Yuan, Lichao Nie and Stuart W. Krasner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water Research and Pattern Recognition.

In The Last Decade

Chengkun Wang

27 papers receiving 316 citations

Peers

Chengkun Wang
Yuanqing Chen China
Wenxuan Zhu China
John Heiser United States
Wenqi Zhang China
Yongquan Li China
Shuai Huang China
Gautham Krishnamoorthy United States
Yuanqing Chen China
Chengkun Wang
Citations per year, relative to Chengkun Wang Chengkun Wang (= 1×) peers Yuanqing Chen

Countries citing papers authored by Chengkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengkun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengkun Wang. A scholar is included among the top collaborators of Chengkun 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 Chengkun Wang. Chengkun 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, Chengkun, et al.. (2024). Probabilistic deep metric learning for hyperspectral image classification. Pattern Recognition. 157. 110878–110878. 3 indexed citations
2.
Wang, Chengkun, Wenzhao Zheng, Zheng Zhu, Jie Zhou, & Jiwen Lu. (2023). Introspective Deep Metric Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 1964–1980. 10 indexed citations
3.
Nie, Lichao, et al.. (2023). An integrated geological and geophysical approach to identify water-rich weathered granite areas during twin tunnels construction: A case study. Tunnelling and Underground Space Technology. 135. 105025–105025. 24 indexed citations
4.
Wang, Chengkun, et al.. (2023). Deep Factorized Metric Learning. 7672–7682. 5 indexed citations
5.
Nie, Lichao, Zhao Ma, Bin Liu, et al.. (2020). A Weighting Function-Based Method for Resistivity Inversion in Subsurface Investigations. Journal of Environmental and Engineering Geophysics. 25(1). 129–138. 1 indexed citations
6.
Bei, Er, Shixiang Li, Xinsheng He, et al.. (2020). Formation of N-nitrosodimethylamine precursors through the microbiological metabolism of nitrogenous substrates in water. Water Research. 183. 116055–116055. 28 indexed citations
7.
Nie, Lichao, et al.. (2019). Integrated ERT, Seismic, and Electrical Resistivity Imaging for Geological Prospecting on Metro Line R3 in Qingdao, China. Journal of Environmental and Engineering Geophysics. 24(4). 537–547. 9 indexed citations
8.
Wang, Chengkun, et al.. (2019). Evaluation of stability of Pr2−xNdxNiO4+δ by thermogravimetry under various oxygen partial pressures. Journal of Thermal Analysis and Calorimetry. 142(1). 139–147. 7 indexed citations
9.
10.
Hashimoto, Takuya, et al.. (2019). Dependence of Crystal Structure, Morphology and Electrical Conductivity of Pr2Ni1-XCuxO4+δ and PrLaNi1-XCuxO4+δ Ceramics on Cu Content. ECS Transactions. 91(1). 1445–1452. 3 indexed citations
11.
Wang, Chengkun, et al.. (2018). Thermal analysis of structural phase transition behavior of Ln2Ni1−xCuxO4+δ (Ln = Nd, Pr) under various oxygen partial pressures. Journal of Thermal Analysis and Calorimetry. 135(5). 2765–2774. 17 indexed citations
12.
Wang, Chengkun, et al.. (2017). Preparation of Structural Phase Diagram of Nd2Ni1-XCuxO4+δAs New Cathode Materials – Clarification of Existence of Miscibility Gap. ECS Transactions. 78(1). 603–612. 1 indexed citations
13.
Wang, Chengkun, Shuming Liu, Jun Wang, Xiaojian Zhang, & Chao Chen. (2015). Monthly survey of N-nitrosamine yield in a conventional water treatment plant in North China. Journal of Environmental Sciences. 38. 142–149. 13 indexed citations
14.
Yuan, Peijiang, et al.. (2014). An AGV-based teaching approach on experiments of mechatronics course. 34. 2104–2109. 5 indexed citations
15.
Yuan, Peijiang, et al.. (2014). Surface normal measurement in the end effector of a drilling robot for aviation. 4481–4486. 15 indexed citations
16.
Yuan, Peijiang, et al.. (2014). A micro-adjusting attitude mechanism for autonomous drilling robot end-effector. Science China Information Sciences. 57(12). 1–12. 12 indexed citations
17.
18.
Liao, Xiaobin, Chengkun Wang, Jun Wang, et al.. (2014). Nitrosamine precursor and DOM control in an effluent‐affected drinking water. American Water Works Association. 106(7). 40 indexed citations
19.
Wang, Chengkun, et al.. (2014). The study of drilling and countersink technology in robot drilling end-effector. 47. 1858–1863. 3 indexed citations
20.
Wang, Chengkun, Xiaojian Zhang, Jun Wang, & Chao Chen. (2013). Characterization of dissolved organic matter as N-nitrosamine precursors based on hydrophobicity, molecular weight and fluorescence. Journal of Environmental Sciences. 25(1). 85–95. 29 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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