Keming Mao

556 total citations · 1 hit paper
36 papers, 363 citations indexed

About

Keming Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Keming Mao has authored 36 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Keming Mao's work include Biometric Identification and Security (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Keming Mao is often cited by papers focused on Biometric Identification and Security (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Keming Mao collaborates with scholars based in China, United States and Hong Kong. Keming Mao's co-authors include Yong Luo, Zhuofu Deng, Xinqi Wang, Bohua Wang, Jie Yu, Kuo Wang, Yuhai Zhao, Duo Lu, Weiyi Zhang and Guoren Wang and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Keming Mao

32 papers receiving 349 citations

Hit Papers

A skin lesion segmentation network with edge and body fusion 2025 2026 2025 5 10 15
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. A skin lesion segmentation network with edge and body fusion
    2025 19 citations Wang Gao, Keming Mao et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keming Mao China 11 137 105 81 58 50 36 363
Juan-Carlos Pérez-Cortés Spain 12 161 1.2× 169 1.6× 58 0.7× 44 0.8× 30 0.6× 51 355
Shanxiong Chen China 11 153 1.1× 129 1.2× 83 1.0× 24 0.4× 43 0.9× 66 443
Daxin Zhu China 9 68 0.5× 54 0.5× 88 1.1× 66 1.1× 42 0.8× 49 282
Cícero Ferreira Fernandes Costa Filho Brazil 15 140 1.0× 214 2.0× 184 2.3× 36 0.6× 80 1.6× 55 553
M. G. F. Costa Brazil 16 148 1.1× 239 2.3× 187 2.3× 36 0.6× 83 1.7× 65 599
Harris Georgiou Greece 10 221 1.6× 148 1.4× 112 1.4× 48 0.8× 23 0.5× 19 366
Hamidullah Binol United States 12 166 1.2× 123 1.2× 77 1.0× 15 0.3× 30 0.6× 33 467
Vianey Guadalupe Cruz Sánchez Mexico 11 114 0.8× 185 1.8× 178 2.2× 148 2.6× 55 1.1× 51 492
Ren Togo Japan 12 235 1.7× 199 1.9× 150 1.9× 50 0.9× 43 0.9× 132 546
Mehrez Marzougui Saudi Arabia 13 136 1.0× 180 1.7× 58 0.7× 15 0.3× 27 0.5× 50 505

Countries citing papers authored by Keming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Keming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Keming Mao. A scholar is included among the top collaborators of Keming Mao 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 Keming Mao. Keming Mao 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.
Mao, Keming, Dakang Wang, Wenxin Zhang, et al.. (2025). Retrieval of Dissolved Oxygen Concentrations in Fishponds in the Guangdong–Hong Kong–Macao Greater Bay Area Using Satellite Imagery and Machine Learning. Remote Sensing. 17(13). 2277–2277. 1 indexed citations
2.
Cai, Hao, Yizhe Wang, Yong Luo, & Keming Mao. (2025). A Dual-Channel Collaborative Transformer for continual learning. Applied Soft Computing. 171. 112792–112792. 10 indexed citations
3.
Gao, Wang, et al.. (2025). A skin lesion segmentation network with edge and body fusion. Applied Soft Computing. 170. 112683–112683. 19 indexed citations breakdown →
4.
5.
6.
Zhang, Ming, et al.. (2024). RE-SMOTE: A Novel Imbalanced Sampling Method Based on SMOTE with Radius Estimation. Computers, materials & continua/Computers, materials & continua (Print). 81(3). 3853–3880. 1 indexed citations
7.
Jing, Xin, et al.. (2024). A Novel Automatic Prompt Tuning Method for Polyp Segmentation. 2094–2099.
8.
Mao, Keming, et al.. (2024). Real-time bidding with multi-agent reinforcement learning in multi-channel display advertising. Neural Computing and Applications. 37(1). 499–511.
9.
Mao, Keming, et al.. (2023). An efficient hyperspectral image classification method for limited training data. IET Image Processing. 17(6). 1709–1717. 2 indexed citations
10.
Mao, Keming, et al.. (2023). A novel open-source CADs platform for 3D CT pulmonary analysis. Computers in Biology and Medicine. 169. 107878–107878. 2 indexed citations
11.
Jiang, Huiyuan, et al.. (2023). Re-Smote: A Novel Imbalanced Sampling Method Based on Smote with Radius Estimation. SSRN Electronic Journal. 1 indexed citations
12.
Mao, Keming, et al.. (2023). Prototype Representation Expansion in Incremental Learning. Neural Processing Letters. 55(6). 8401–8417. 2 indexed citations
13.
Mao, Keming, et al.. (2021). Remote Sensing Image Scene Classification Based on Fusion Method. Journal of Sensors. 2021(1). 5 indexed citations
14.
Wang, Xinqi, et al.. (2019). An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images. Sensors. 19(1). 194–194. 31 indexed citations
15.
Xing, Liudong, et al.. (2019). Multivalued Decision Diagrams-Based Trust Level Analysis for Social Networks. IEEE Access. 7. 180620–180629. 4 indexed citations
16.
Mao, Keming & Zhuofu Deng. (2016). Lung Nodule Image Classification Based on Ensemble Machine Learning. Journal of Medical Imaging and Health Informatics. 6(7). 1679–1685. 12 indexed citations
17.
Mao, Keming & Zhuofu Deng. (2016). Lung Nodule Image Classification Based on Local Difference Pattern and Combined Classifier. Computational and Mathematical Methods in Medicine. 2016. 1–7. 15 indexed citations
18.
Mao, Keming, et al.. (2011). A Novel Fingerprint Image Segmentation Method by Multiple Features. 2(3). 104–117. 3 indexed citations
19.
20.
Wang, Guoren, et al.. (2009). Efficiently Mining Time-Delayed Gene Expression Patterns. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(2). 400–411. 16 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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