Hongkun Wu

977 total citations
21 papers, 796 citations indexed

About

Hongkun Wu is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Hongkun Wu has authored 21 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 6 papers in Control and Systems Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Hongkun Wu's work include Lubricants and Their Additives (9 papers), Machine Fault Diagnosis Techniques (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Hongkun Wu is often cited by papers focused on Lubricants and Their Additives (9 papers), Machine Fault Diagnosis Techniques (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Hongkun Wu collaborates with scholars based in China, Australia and United Kingdom. Hongkun Wu's co-authors include Zhongxiao Peng, Tonghai Wu, Ying Du, Yeping Peng, Ke Feng, Ngaiming Kwok, Moses J. Paul, Jamie J. Kruzic, Bernd Gludovatz and Peidong He and has published in prestigious journals such as Acta Materialia, Mechanical Systems and Signal Processing and Wear.

In The Last Decade

Hongkun Wu

20 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongkun Wu China	14	629	167	159	141	124	21	796
Weijun Liu China	15	982 1.6×	360 2.2×	81 0.5×	120 0.9×	88 0.7×	93	1.2k
Stanisław Adamczak Poland	18	536 0.9×	102 0.6×	51 0.3×	80 0.6×	139 1.1×	99	666
Shuheng Liao United States	13	397 0.6×	147 0.9×	40 0.3×	105 0.7×	99 0.8×	29	578
Yichao Dun China	13	700 1.1×	223 1.3×	41 0.3×	60 0.4×	126 1.0×	16	772
Dongyun Wang China	14	475 0.8×	156 0.9×	107 0.7×	88 0.6×	20 0.2×	66	678
Bastian Meylan Switzerland	15	602 1.0×	124 0.7×	40 0.3×	268 1.9×	98 0.8×	31	794
Vigneashwara Pandiyan Switzerland	21	1.0k 1.7×	245 1.5×	72 0.5×	166 1.2×	267 2.2×	36	1.2k
Marcus Klein Germany	12	469 0.7×	175 1.0×	33 0.2×	332 2.4×	65 0.5×	61	751
A. Donmez United States	12	554 0.9×	274 1.6×	60 0.4×	41 0.3×	152 1.2×	20	699
Hyeong-Joon Ahn South Korea	18	634 1.0×	57 0.3×	445 2.8×	111 0.8×	53 0.4×	88	1.0k

Countries citing papers authored by Hongkun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hongkun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkun Wu

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

All Works

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20 of 20 papers shown

Yan, Shengnan, et al.. (2025). Optimizing cavitation fault forecasting in pump-turbine systems through gated recurrent units. Physics of Fluids. 37(3).

Wu, Hongkun, et al.. (2024). Comparative Analysis of Gravity Wave Characteristics in China and the United States Using High Vertical Resolution Radiosonde Observations. Journal of Geophysical Research Atmospheres. 129(14). 1 indexed citations

Peng, Yeping, et al.. (2023). Probability-weighted ensemble support vector machine for intelligent recognition of moving wear debris from joint implant. Tribology International. 186. 108583–108583. 7 indexed citations

Wu, Hongkun, et al.. (2023). Advances in reparative materials for infectious bone defects and their applications in maxillofacial regions. Journal of Materials Chemistry B. 12(4). 842–871. 14 indexed citations

Feng, Ke, Jinchen Ji, Yifan Li, et al.. (2022). A novel cyclic-correntropy based indicator for gear wear monitoring. Tribology International. 171. 107528–107528. 47 indexed citations

Feng, Ke, Wade A. Smith, Robert B. Randall, Hongkun Wu, & Zhongxiao Peng. (2021). Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process. Mechanical Systems and Signal Processing. 165. 108319–108319. 102 indexed citations

Liu, Qian, Hongkun Wu, Moses J. Paul, et al.. (2020). Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms. Acta Materialia. 201. 316–328. 218 indexed citations

Wu, Tonghai, et al.. (2020). Study on vibration mechanism induced by skidding in pure rolling contact. Tribology International. 154. 106669–106669. 13 indexed citations

Wu, Hongkun, N. M. Kwok, Shilong Liu, et al.. (2019). Restoration of defocused ferrograph images using a large kernel convolutional neural network. Wear. 426-427. 1740–1747. 17 indexed citations

10.

Yang, Lingfeng, et al.. (2019). Optimum Color and Contrast Enhancement for Online Ferrography Image Restoration. Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems. 2(3). 2 indexed citations

11.

Wu, Hongkun, Ruowei Li, N. M. Kwok, et al.. (2018). Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring. Mechanical Systems and Signal Processing. 114. 539–555. 23 indexed citations

12.

Wu, Hongkun, Ruowei Li, Shilong Liu, et al.. (2018). Three dimensional shape measurement of wear particle by iterative volume intersection. UNSWorks (University of New South Wales, Sydney, Australia). 2. 212–212. 2 indexed citations

13.

Peng, Yeping, Tonghai Wu, Guang‐Zhong Cao, et al.. (2017). A hybrid search-tree discriminant technique for multivariate wear debris classification. Wear. 392-393. 152–158. 25 indexed citations

14.

Wu, Hongkun, et al.. (2016). A prototype of on-line extraction and three-dimensional characterisation of wear particle features from video sequence. Wear. 368-369. 314–325. 23 indexed citations

15.

Wang, Shuo, Tonghai Wu, Hongkun Wu, & Ngaiming Kwok. (2016). Modeling Wear State Evolution Using Real-Time Wear Debris Features. Tribology Transactions. 60(6). 1022–1032. 18 indexed citations

16.

Wu, Tonghai, Hongkun Wu, Ying Du, Ngaiming Kwok, & Zhongxiao Peng. (2014). Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features. Wear. 316(1-2). 19–29. 80 indexed citations

17.

Wu, Hongkun, Tonghai Wu, Yeping Peng, & Zhongxiao Peng. (2013). Watershed-Based Morphological Separation of Wear Debris Chains for On-Line Ferrograph Analysis. Tribology Letters. 53(2). 411–420. 31 indexed citations

18.

Wu, Tonghai, Hongkun Wu, Ying Du, & Zhongxiao Peng. (2013). Progress and trend of sensor technology for on-line oil monitoring. Science China Technological Sciences. 56(12). 2914–2926. 92 indexed citations

19.

Wu, Tonghai, et al.. (2013). Full-life dynamic identification of wear state based on on-line wear debris image features. Mechanical Systems and Signal Processing. 42(1-2). 404–414. 62 indexed citations

20.

Wu, Hongkun, Jianjun Feng, Guangkuan Wu, & Xingqi Luo. (2012). Numerical investigation of hub clearance flow in a Kaplan turbine. IOP Conference Series Earth and Environmental Science. 15(7). 72026–72026. 6 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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