Chi‐Man Vong

7.1k total citations
178 papers, 4.3k citations indexed

About

Chi‐Man Vong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chi‐Man Vong has authored 178 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 52 papers in Computer Vision and Pattern Recognition and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Chi‐Man Vong's work include Machine Learning and ELM (56 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Face and Expression Recognition (17 papers). Chi‐Man Vong is often cited by papers focused on Machine Learning and ELM (56 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Face and Expression Recognition (17 papers). Chi‐Man Vong collaborates with scholars based in Macao, China and United States. Chi‐Man Vong's co-authors include Pak Kin Wong, Pak-Kin Wong, Zhenbao Liu, Ka In Wong, C. L. Philip Chen, Jie Du, Junwei Han, Zhi-Xin Yang, Jiahua Luo and C.S. Cheung and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

In The Last Decade

Chi‐Man Vong

169 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chi‐Man Vong Macao	35	1.7k	1.0k	1.0k	735	478	178	4.3k
Jie Liu China	37	886 0.5×	327 0.3×	920 0.9×	713 1.0×	535 1.1×	294	4.5k
Himanshu Jain India	11	3.2k 1.9×	416 0.4×	634 0.6×	800 1.1×	552 1.2×	23	6.8k
Pak Kin Wong Macao	40	1.1k 0.6×	316 0.3×	1.9k 1.8×	834 1.1×	1.3k 2.8×	259	5.6k
Yu Kang China	43	720 0.4×	545 0.5×	2.5k 2.5×	855 1.2×	468 1.0×	349	6.1k
Cesare Alippi Italy	43	2.9k 1.7×	673 0.7×	995 1.0×	1.9k 2.6×	568 1.2×	231	6.5k
Davide Anguita Italy	32	2.0k 1.1×	1.9k 1.8×	581 0.6×	794 1.1×	381 0.8×	176	5.1k
Vimal Savsani India	31	3.8k 2.2×	612 0.6×	1.2k 1.2×	1.8k 2.5×	1.1k 2.3×	66	8.0k
Aytaç Altan Türkiye	25	827 0.5×	664 0.6×	741 0.7×	850 1.2×	315 0.7×	48	3.8k
Yuan Zhuang China	38	757 0.4×	517 0.5×	294 0.3×	3.2k 4.4×	279 0.6×	251	5.7k
Zhi-Xin Yang Macao	32	638 0.4×	351 0.3×	1.7k 1.7×	501 0.7×	937 2.0×	203	3.6k

Countries citing papers authored by Chi‐Man Vong

Since Specialization

Citations

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

Fields of papers citing papers by Chi‐Man Vong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Man Vong. 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 Chi‐Man Vong. The network helps show where Chi‐Man Vong may publish in the future.

Co-authorship network of co-authors of Chi‐Man Vong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jia, Zhen, et al.. (2025). Joint Prediction of SOH and RUL for Lithium Batteries Considering Capacity Self Recovery and Model Drift. IEEE Internet of Things Journal. 12(12). 22187–22196. 2 indexed citations

Sun, Jian, Chi‐Man Vong, Qing Xu, et al.. (2025). OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird’s-Eye-View Vehicle Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 26(8). 12210–12223. 1 indexed citations

Vong, Chi‐Man, et al.. (2025). HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition. IEEE Transactions on Computational Social Systems. 12(6). 4254–4265. 2 indexed citations

Jia, Zhen, et al.. (2025). An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

Jia, Zhen, et al.. (2025). Graph Convolutional Contrastive Learning for Few-Shot Open-Set Fault Diagnosis in Electro-Hydrostatic Actuators. IEEE Transactions on Aerospace and Electronic Systems. 62. 3076–3092.

Huang, Jintao, et al.. (2024). Stream label distribution learning processing via broad learning system. Information Sciences. 677. 120836–120836. 3 indexed citations

Li, Yuchen, et al.. (2024). Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems. Knowledge-Based Systems. 310. 112923–112923. 1 indexed citations

Sun, Jian, et al.. (2024). WAGL: Extreme Weather Adaptive Method for Robust and Generalizable UAV-based Cross-View Geo-localization. 14–18.

Huang, Jintao, et al.. (2024). Dealing with partial labels by knowledge distillation. Pattern Recognition. 158. 110965–110965. 1 indexed citations

10.

Vong, Chi‐Man, et al.. (2024). Multi-kernel partial label learning using graph contrast disambiguation. Applied Intelligence. 54(20). 9760–9782.

11.

Wang, Hongtao, et al.. (2024). Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1637–1646. 14 indexed citations

12.

Vong, Chi‐Man, et al.. (2024). Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information. IEEE Transactions on Industrial Informatics. 20(10). 11635–11643.

13.

Huang, Jintao, et al.. (2023). Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Transactions on Fuzzy Systems. 31(9). 3290–3304. 15 indexed citations

14.

Chen, Chuangquan, et al.. (2023). DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge. IEEE Transactions on Industrial Informatics. 20(3). 4418–4428. 6 indexed citations

15.

Vong, Chi‐Man, et al.. (2023). Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15415–15426. 3 indexed citations

16.

Vong, Chi‐Man, et al.. (2022). Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20489–20505. 7 indexed citations

17.

Du, Jie, Yanhong Zhou, Peng Liu, Chi‐Man Vong, & Tianfu Wang. (2021). Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 3234–3240. 32 indexed citations

18.

Wang, Fengchao, et al.. (2020). SCNet: Scale-aware coupling-structure network for efficient video object detection. Neurocomputing. 404. 283–293. 7 indexed citations

19.

Wong, Pak Kin, et al.. (2015). Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller. Mathematical Problems in Engineering. 2015. 1–10. 5 indexed citations

20.

Vong, Chi‐Man. (2011). Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis Using Wavelet Packet Transform and Support Vector Machines. Chinese Journal of Mechanical Engineering. 24(5). 870–870. 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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