Shih‐Fu Chang

36.3k total citations · 11 hit papers
373 papers, 21.2k citations indexed

About

Shih‐Fu Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shih‐Fu Chang has authored 373 papers receiving a total of 21.2k indexed citations (citations by other indexed papers that have themselves been cited), including 329 papers in Computer Vision and Pattern Recognition, 102 papers in Artificial Intelligence and 75 papers in Signal Processing. Recurrent topics in Shih‐Fu Chang's work include Advanced Image and Video Retrieval Techniques (172 papers), Video Analysis and Summarization (152 papers) and Image Retrieval and Classification Techniques (121 papers). Shih‐Fu Chang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (172 papers), Video Analysis and Summarization (152 papers) and Image Retrieval and Classification Techniques (121 papers). Shih‐Fu Chang collaborates with scholars based in United States, China and Singapore. Shih‐Fu Chang's co-authors include John R. Smith, Wei Liu, Sanjiv Kumar, Yu–Gang Jiang, Jun Wang, Jun Wang, Thomas S. Huang, Yong Rui, Rongrong Ji and Junfeng He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Shih‐Fu Chang

368 papers receiving 20.0k citations

Hit Papers

VisualSEEk 1996 2026 2006 2016 1996 1999 2012 2012 2010 250 500 750 1000

Peers

Shih‐Fu Chang
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 18.2k
  • Artificial Intelligence 5.6k
  • Signal Processing 3.2k
  • Media Technology 1.6k
  • Sociology and Political Science 853
Replace Yihong Gong with:
Yihong Gong China
Wen Gao China
Tao Mei China
Yong Rui China
Ramesh Jain United States
Changsheng Xu China
Xian‐Sheng Hua China
Heng Tao Shen China
Rongrong Ji China
Kristen Grauman United States
Yihong Gong China View profile →
Citations per field, relative to Shih‐Fu Chang
Shih‐Fu Chang · 1×
Citations per year, relative to Shih‐Fu Chang
Shih‐Fu Chang · 1×

Countries citing papers authored by Shih‐Fu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Fu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Fu Chang. 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 Shih‐Fu Chang. The network helps show where Shih‐Fu Chang may publish in the future.

Co-authorship network of co-authors of Shih‐Fu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Fu Chang. A scholar is included among the top collaborators of Shih‐Fu Chang 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 Shih‐Fu Chang. Shih‐Fu Chang 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
# Work Indexed citations
1
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
1
2 93
3
On Learning with Label Proportions.
4
4
Discrete Graph Hashing breakdown →
331
5
BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems.
6
6
$\propto$SVM for Learning with Label Proportions
6
7
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems
14
8
Semi-supervised learning using greedy max-cut
71
9
Learning with Partially Absorbing Random Walks
72
10
BBN VISER TRECVID 2011 Multimedia Event Detection System
25
11
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System
21
12
Sequential Projection Learning for Hashing with Compact Codes
220
13 2
14
Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction.
86
15
Multimedia knowledge integration, summarization and evaluation
8
16
Proceedings of the eighth ACM international conference on Multimedia
4
17
Proceedings of the 2000 ACM workshops on Multimedia
8
18
Querying by color regions using VisualSEEk content-based visual query system
84
19
Visual information retrieval from large distributed online
1
20 298

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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