Ming-Fang Weng

410 total citations
18 papers, 249 citations indexed

About

Ming-Fang Weng is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Ming-Fang Weng has authored 18 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Ming-Fang Weng's work include Advanced Image and Video Retrieval Techniques (9 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (6 papers). Ming-Fang Weng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (6 papers). Ming-Fang Weng collaborates with scholars based in Taiwan and United States. Ming-Fang Weng's co-authors include Yung‐Yu Chuang, Hong-Yuan Mark Liao, Yen‐Yu Lin, Ming-Syan Chen⋆, Li‐Wei Kang, Chao-Yung Hsu, Nick C. Tang, Chih‐Yang Lin, Yi-Chang Lu and Tsung-Yi Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Multimedia.

In The Last Decade

Ming-Fang Weng

18 papers receiving 245 citations

Peers

Ming-Fang Weng
J. Jaya India
O. Matan United States
Young‐Ho Suh South Korea
Shuhan Qi China
Ming-Fang Weng
Citations per year, relative to Ming-Fang Weng Ming-Fang Weng (= 1×) peers Chih‐Yi Chiu

Countries citing papers authored by Ming-Fang Weng

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fang Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Fang Weng

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

All Works

18 of 18 papers shown
1.
Hsu, Chao-Yung, et al.. (2018). Fish-Eye Lenses-Based Camera Calibration and Panoramic Image Stitching. 1–2. 7 indexed citations
2.
Hsu, Chao-Yung, et al.. (2018). Depth-based feature extraction-guided automatic identification tracking of steel products for smart manufacturing in steel 4.0. 2018 IEEE International Conference on Applied System Invention (ICASI). 145–146. 6 indexed citations
3.
Lin, Yen‐Yu, et al.. (2017). Deep Co-occurrence Feature Learning for Visual Object Recognition. 7302–7311. 28 indexed citations
4.
Hsu, Chao-Yung, et al.. (2017). 3D modeling for steel billet images. 5–6. 4 indexed citations
5.
Hsu, Chao-Yung, et al.. (2016). Fast vision-based surface inspection of defects for steel billets. 1–2. 6 indexed citations
6.
Hsu, Chao-Yung, et al.. (2016). Fast image stitching for continuous casting steel billet images. 36. 1–2. 7 indexed citations
7.
Wei, Shih-En, Nick C. Tang, Yen‐Yu Lin, Ming-Fang Weng, & Hong-Yuan Mark Liao. (2014). Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data. 7–10. 8 indexed citations
8.
Tang, Nick C., et al.. (2014). Robust Action Recognition via Borrowing Information Across Video Modalities. IEEE Transactions on Image Processing. 24(2). 709–723. 9 indexed citations
9.
Tang, Nick C., Chiou-Ting Hsu, Ming-Fang Weng, Tsung-Yi Lin, & Hong-Yuan Mark Liao. (2013). Example-Based Human Motion Extrapolation and Motion Repairing Using Contour Manifold. IEEE Transactions on Multimedia. 16(1). 47–59. 8 indexed citations
10.
Lin, Chih‐Yang, et al.. (2013). Identification and tracking of players in sport videos. 113–116. 17 indexed citations
11.
Weng, Ming-Fang & Yung‐Yu Chuang. (2012). Collaborative video reindexing via matrix factorization. ACM Transactions on Multimedia Computing Communications and Applications. 8(2). 1–20. 28 indexed citations
12.
Weng, Ming-Fang, Yen‐Yu Lin, Nick C. Tang, & Hong-Yuan Mark Liao. (2012). Visual knowledge transfer among multiple cameras for people counting with occlusion handling. 439–448. 4 indexed citations
13.
Weng, Ming-Fang & Yung‐Yu Chuang. (2011). Cross-Domain Multicue Fusion for Concept-Based Video Indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(10). 1927–1941. 16 indexed citations
14.
Lin, Tsung-Yi, Yen‐Yu Lin, Ming-Fang Weng, et al.. (2011). Cross camera people counting with perspective estimation and occlusion handling. 1–6. 14 indexed citations
15.
Weng, Ming-Fang & Yung‐Yu Chuang. (2008). Multi-cue fusion for semantic video indexing. 71–80. 29 indexed citations
16.
Wu, Tien-Lin, Chien‐Chang Ho, Yuan‐Pin Lin, et al.. (2008). Interactive content presentation based on expressed emotion and physiological feedback. 1009–1010. 4 indexed citations
17.
Weng, Ming-Fang, et al.. (2008). Association and Temporal Rule Mining for Post-Filtering of Semantic Concept Detection in Video. IEEE Transactions on Multimedia. 10(2). 240–251. 53 indexed citations
18.
Weng, Ming-Fang, et al.. (2007). The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007 ?. TRECVID. 1 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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