Chunming Wu

1.3k total citations
22 papers, 1.1k citations indexed

About

Chunming Wu is a scholar working on Information Systems, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chunming Wu has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Media Technology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chunming Wu's work include Hydrological Forecasting Using AI (4 papers), Advanced Image Fusion Techniques (3 papers) and Hydrology and Watershed Management Studies (3 papers). Chunming Wu is often cited by papers focused on Hydrological Forecasting Using AI (4 papers), Advanced Image Fusion Techniques (3 papers) and Hydrology and Watershed Management Studies (3 papers). Chunming Wu collaborates with scholars based in China, Hong Kong and Vietnam. Chunming Wu's co-authors include Kwok‐wing Chau, Y. S. Li, Mingwei Wang, Daxiang Xiang, Xiaohui Huang, Lizhe Wang, Tie Zhong, Xiangxu Kong, Ming Jiang and Litian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Chunming Wu

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunming Wu China	10	533	414	363	196	187	22	1.1k
Jingjing Xie China	15	482 0.9×	164 0.4×	210 0.6×	158 0.8×	214 1.1×	37	991
Manish Kumar India	19	470 0.9×	355 0.9×	482 1.3×	170 0.9×	178 1.0×	64	1.4k
Yuelong Zhu China	14	318 0.6×	236 0.6×	300 0.8×	174 0.9×	101 0.5×	57	824
C.L. Wu Hong Kong	9	990 1.9×	729 1.8×	609 1.7×	227 1.2×	372 2.0×	9	1.6k
Zhiqiang Du China	22	501 0.9×	230 0.6×	571 1.6×	73 0.4×	396 2.1×	93	1.9k
Branko Kerkez United States	20	815 1.5×	512 1.2×	521 1.4×	59 0.3×	187 1.0×	64	1.6k
Jarosław J. Napiórkowski Poland	25	573 1.1×	747 1.8×	458 1.3×	508 2.6×	178 1.0×	74	2.0k
Paresh Chandra Deka India	25	1.0k 2.0×	692 1.7×	628 1.7×	242 1.2×	241 1.3×	44	2.0k
Karamjit Bhatia India	14	372 0.7×	388 0.9×	241 0.7×	91 0.5×	75 0.4×	41	834
Dong-mei Xu China	7	512 1.0×	479 1.2×	338 0.9×	190 1.0×	265 1.4×	9	1.3k

Countries citing papers authored by Chunming Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chunming Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunming Wu. A scholar is included among the top collaborators of Chunming 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 Chunming Wu. Chunming 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

Tian, Jiwei, Chao Shen, Chenhao Lin, et al.. (2025). ADMM-Based Adversarial False Data Injection Attacks Against Multi-Label Locational Detection. IEEE Transactions on Dependable and Secure Computing. 23(1). 263–277. 1 indexed citations

Wu, Chunming, et al.. (2024). Multi-Discriminator Image Restoration Algorithm Based on Hybrid Dilated Convolution Networks. International Journal of Advanced Computer Science and Applications. 15(4). 1 indexed citations

Wang, Litian, Liquan Zhao, Tie Zhong, & Chunming Wu. (2024). Low-light image enhancement using generative adversarial networks. Scientific Reports. 14(1). 18489–18489. 9 indexed citations

Zhong, Tie, et al.. (2024). Remote sensing image dehazing using generative adversarial network with texture and color space enhancement. Scientific Reports. 14(1). 12382–12382. 7 indexed citations

Wu, Chunming, et al.. (2023). Teachers’ Perceptions of the Impact of the Double Reduction Policy on the Design and Amount of English Homework in Primary Schools – An Empirical Study. Journal of Curriculum and Teaching. 12(4). 9–9.

Wu, Chunming, et al.. (2021). A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing. PLoS ONE. 16(3). e0246905–e0246905. 8 indexed citations

Wu, Chunming, et al.. (2021). Research on insulator defect detection algorithm of transmission line based on CenterNet. PLoS ONE. 16(7). e0255135–e0255135. 12 indexed citations

Wang, Jianyu & Chunming Wu. (2020). Camouflage is NOT easy: Uncovering adversarial fraudsters in large online app review platform. Measurement and Control. 53(9-10). 2137–2145. 4 indexed citations

Wu, Chunming, et al.. (2020). Infrared and visible image fusion method of dual NSCT and PCNN. PLoS ONE. 15(9). e0239535–e0239535. 14 indexed citations

10.

Wang, Mingwei, et al.. (2020). A band selection approach based on Lévy sine cosine algorithm and alternative distribution for hyperspectral image. International Journal of Remote Sensing. 41(9). 3429–3445. 11 indexed citations

11.

Wang, Mingwei, Chunming Wu, Lizhe Wang, Daxiang Xiang, & Xiaohui Huang. (2019). A feature selection approach for hyperspectral image based on modified ant lion optimizer. Knowledge-Based Systems. 168. 39–48. 107 indexed citations

12.

Wu, Chunming, Meng Wang, Lang Gao, et al.. (2019). Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification. KSII Transactions on Internet and Information Systems. 13(8). 3 indexed citations

13.

Li, Min, Chunming Wu, & Ye Li. (2017). A Group Recommendation Algorithm Based on Group Members' Weights and Project Popularity. 1 indexed citations

14.

Tian, Jialin, et al.. (2016). The wear analysis model and rock-breaking mechanism of a new embedded polycrystalline diamond compact. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 231(22). 4241–4249. 8 indexed citations

15.

Jiang, Ming, et al.. (2014). An Approach for Crowd Density and Crowd Size Estimation. Journal of Software. 9(3). 11 indexed citations

16.

Wu, Chunming & Kwok‐wing Chau. (2012). Prediction of rainfall time series using modular soft computingmethods. Engineering Applications of Artificial Intelligence. 26(3). 997–1007. 270 indexed citations

17.

Wu, Chunming, Kwok‐wing Chau, & Y. S. Li. (2009). Methods to improve neural network performance in daily flows prediction. Journal of Hydrology. 372(1-4). 80–93. 273 indexed citations

18.

Qiang, Baohua, et al.. (2008). Identifying Corresponding Entities Based on Attribute Entropy in Heterogeneous Databases. 1–4. 3 indexed citations

19.

Wu, Chunming & Kwok‐wing Chau. (2006). A flood forecasting neural network model with genetic algorithm. International Journal of Environment and Pollution. 28(3/4). 261–261. 92 indexed citations

20.

Chau, Kwok‐wing, Chunming Wu, & Y. S. Li. (2005). Comparison of Several Flood Forecasting Models in Yangtze River. Journal of Hydrologic Engineering. 10(6). 485–491. 278 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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