Jing-Ming Guo

2.6k total citations
148 papers, 1.8k citations indexed

About

Jing-Ming Guo is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing. According to data from OpenAlex, Jing-Ming Guo has authored 148 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computer Vision and Pattern Recognition, 40 papers in Atomic and Molecular Physics, and Optics and 24 papers in Signal Processing. Recurrent topics in Jing-Ming Guo's work include Color Science and Applications (40 papers), Advanced Steganography and Watermarking Techniques (35 papers) and Image Enhancement Techniques (30 papers). Jing-Ming Guo is often cited by papers focused on Color Science and Applications (40 papers), Advanced Steganography and Watermarking Techniques (35 papers) and Image Enhancement Techniques (30 papers). Jing-Ming Guo collaborates with scholars based in Taiwan, China and United States. Jing-Ming Guo's co-authors include Yun-Fu Liu, Soo‐Chang Pei, Heri Prasetyo, Chih‐Hsien Hsia, KokSheik Wong, Hua Lee, Min‐Hsiung Shih, Jiann-Der Lee, Reza Moradi Rad and Yanmin Luo and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Jing-Ming Guo

130 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing-Ming Guo Taiwan 24 1.5k 339 308 228 134 148 1.8k
Suk‐Ju Kang South Korea 24 1.3k 0.8× 255 0.8× 167 0.5× 202 0.9× 90 0.7× 154 1.6k
Baoyuan Wang China 20 1.3k 0.9× 220 0.6× 234 0.8× 96 0.4× 175 1.3× 48 1.6k
Xinyu Gong China 10 1.5k 1.0× 555 1.6× 60 0.2× 83 0.4× 208 1.6× 27 1.8k
Raja Bala United States 13 637 0.4× 137 0.4× 185 0.6× 36 0.2× 145 1.1× 63 876
Carlos Hernández Mexico 14 936 0.6× 132 0.4× 24 0.1× 47 0.2× 155 1.2× 35 1.2k
Siu‐Yeung Cho Singapore 17 605 0.4× 128 0.4× 35 0.1× 65 0.3× 116 0.9× 57 925
Alexander Sorkine‐Hornung United States 20 2.8k 1.8× 385 1.1× 26 0.1× 117 0.5× 163 1.2× 37 3.0k
Aytül Erçi̇l Türkiye 17 651 0.4× 225 0.7× 24 0.1× 114 0.5× 79 0.6× 66 984
Hanqiu Sun Hong Kong 21 1.2k 0.8× 100 0.3× 63 0.2× 66 0.3× 79 0.6× 148 1.7k
Shanshe Wang China 26 2.3k 1.5× 172 0.5× 20 0.1× 1.2k 5.1× 158 1.2× 166 2.6k

Countries citing papers authored by Jing-Ming Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Ming Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-Ming Guo. 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 Jing-Ming Guo. The network helps show where Jing-Ming Guo may publish in the future.

Co-authorship network of co-authors of Jing-Ming Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-Ming Guo. A scholar is included among the top collaborators of Jing-Ming Guo 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 Jing-Ming Guo. Jing-Ming Guo 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
2.
Guo, Jing-Ming, et al.. (2025). Lightweight Gaze Tracking Model Based on GhostNet. 1–5.
3.
Guo, Jing-Ming, et al.. (2025). Improved Semantic Segmentation With Large-Scale Attention-Based Self-Supervised Few-Shot Learning. IEEE Transactions on Consumer Electronics. 71(3). 9188–9192.
5.
Luo, Yanmin, et al.. (2023). Real-time 3D human pose estimation without skeletal a priori structures. Image and Vision Computing. 132. 104649–104649. 5 indexed citations
6.
Guo, Jing-Ming, et al.. (2023). Deep Residual and Classified Neural Networks for Inverse Halftoning. 2053–2060.
7.
Guo, Jing-Ming, et al.. (2023). Two-Stage Cascaded CNN Model for 3D Mitochondria EM Segmentation. Electronics. 12(4). 928–928. 1 indexed citations
8.
Guo, Jing-Ming, et al.. (2022). Efficient and Adaptable Patch-Based Crack Detection. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21885–21896. 6 indexed citations
9.
Wang, Youjie, et al.. (2022). UformPose: A U-Shaped Hierarchical Multi-Scale Keypoint-Aware Framework for Human Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1697–1709. 12 indexed citations
10.
Guo, Jing-Ming, et al.. (2021). BARNet: Boundary Aware Refinement Network for Crack Detection. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7343–7358. 54 indexed citations
11.
Guo, Jing-Ming, et al.. (2021). Deep Learning Based Lane Line Detection and Segmentation Using Slice Image Feature. 1–2. 4 indexed citations
12.
Lu, Wei, et al.. (2020). Reversible Data Hiding in Halftone Images Based on Dynamic Embedding States Group. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2631–2645. 6 indexed citations
13.
Guo, Jing-Ming, et al.. (2012). Oriented Modulation for Watermarking in Direct Binary Search Halftone Images. IEEE Transactions on Image Processing. 21(9). 4117–4127. 32 indexed citations
14.
Liu, Yun-Fu & Jing-Ming Guo. (2012). New Class Tiling Design for Dot-Diffused Halftoning. IEEE Transactions on Image Processing. 22(3). 1199–1208. 11 indexed citations
15.
Liu, Yun-Fu, et al.. (2012). Impact of the Lips for Biometrics. IEEE Transactions on Image Processing. 21(6). 3092–3101. 16 indexed citations
16.
Guo, Jing-Ming & Yun-Fu Liu. (2011). Halftone-Image Security Improving Using Overall Minimal-Error Searching. IEEE Transactions on Image Processing. 20(10). 2800–2812. 16 indexed citations
17.
Liu, Yun-Fu, et al.. (2010). Inverse Halftoning Based on the Bayesian Theorem. IEEE Transactions on Image Processing. 20(4). 1077–1084. 23 indexed citations
18.
Guo, Jing-Ming & Yun-Fu Liu. (2010). Joint Compression/Watermarking Scheme Using Majority-Parity Guidance and Halftoning-Based Block Truncation Coding. IEEE Transactions on Image Processing. 19(8). 2056–2069. 34 indexed citations
19.
Pei, Soo‐Chang & Jing-Ming Guo. (2006). High-capacity data hiding in halftone images using minimal-error bit searching and least-mean square filter. IEEE Transactions on Image Processing. 15(6). 1665–1679. 20 indexed citations
20.
Guo, Jing-Ming. (2006). A Complete Printer Model in Error-Diffused Halftone Images. 15. 1529–1532. 2 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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