Shih‐Fu Chang

36.3k citations

373 papers · 21.2k indexed · 11 hit papers · h-index 77

Computer Vision and Pattern Recognition top 0.01%
Artificial Intelligence top 0.1%
Signal Processing top 0.1%
Media Technology top 0.1%
Sociology and Political Science top 2%

Co-authors: John R. Smith Wei Liu Sanjiv Kumar Yu–Gang JiangJun WangThomas S. Huang Yong Rui Rongrong Ji
Topics: Advanced Image and Video Retrieval Techniques (172 papers)Video Analysis and Summarization (152 papers)Image Retrieval and Classification Techniques (121 papers)
Cited by: Computer Vision and Pattern Recognition Signal Processing Media Technology
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence Proceedings of the IEEE Communications of the ACM
Partner nations: United States China Singapore

In The Last Decade

Shih‐Fu Chang

368 papers receiving 20.0k citations

Hit Papers

5 papers align trajectories

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.

VisualSEEk

1996 1.2k citations John R. Smith, Shih‐Fu Chang profile →
Image Retrieval: Current Techniques, Promising Directions, and Open Issues

1999 1.1k citations Shih‐Fu Chang et al. profile →
Supervised hashing with kernels

2012 1.0k citations Wei Liu, Yu–Gang Jiang et al. profile →
Semi-Supervised Hashing for Large-Scale Search

2012 597 citations Sanjiv Kumar, Shih‐Fu Chang et al. profile →
Semi-supervised hashing for scalable image retrieval

2010 446 citations Jun Wang, Sanjiv Kumar et al. profile →
A survey of multimodal sentiment analysis

2017 369 citations Shih‐Fu Chang et al. profile →
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

2019 364 citations Shih‐Fu Chang et al. profile →
Large Graph Construction for Scalable Semi-Supervised Learning

2010 350 citations Wei Liu, Shih‐Fu Chang et al. profile →
Learning to Hash for Indexing Big Data—A Survey

2015 347 citations Jun Wang, Wei Liu et al. profile →
Discrete Graph Hashing

2014 331 citations Wei Liu, Cun Mu et al. Neural Information Processing Systems profile →
Open-Vocabulary Object Detection Using Captions

2021 206 citations Shih‐Fu Chang et al. profile →

Peers

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

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

20 of 20 papers shown

#	Work	Indexed citations
1	VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text 2021 ·Neural Information Processing Systems ·Hassan Akbari,Liangzhe Yuan,Rui Qian,Wei-Hong Chuang,Shih‐Fu Chang,Yin Cui,Boqing Gong	1
2	Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification 2018 ·IEEE Transactions on Multimedia ·Yu–Gang Jiang,Zuxuan Wu,Jinhui Tang,Zechao Li,Xiangyang Xue,Shih‐Fu Chang	93
3	On Learning with Label Proportions. 2014 ·arXiv (Cornell University) ·Felix X. Yu,Sanjiv Kumar,Tony Jebara,Shih‐Fu Chang	4
4	Discrete Graph Hashingbreakdown → 2014 ·Neural Information Processing Systems ·Wei Liu,Cun Mu,Sanjiv Kumar,Shih‐Fu Chang	331
5	BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems. 2014 ·TRECVID ·Florian Luisier,(unknown),W.D. Andrews,Guangnan Ye,Dong Liu,Shih‐Fu Chang,Ruslan Salakhutdinov,Vlad I. Morariu,L. Taylor Davis,Abhinav Gupta,I. Haritaoglu,(unknown),(unknown)	6
6	$\propto$SVM for Learning with Label Proportions 2013 ·International Conference on Machine Learning ·Felix Yu,Dong Liu,Sanjiv Kumar,(unknown),Shih‐Fu Chang	6
7	BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems 2013 ·Journal of International Crisis and Risk Communication Research ·Pradeep Natarajan,Shuang Wu,Florian Luisier,Xiaodan Zhuang,(unknown),Guangnan Ye,Dong Liu,Shih‐Fu Chang,Imran Saleemi,Mubarak Shah,Vlad I. Morariu,L. Taylor Davis,Abhinav Gupta,I. Haritaoglu,(unknown),(unknown)	14
8	Semi-supervised learning using greedy max-cut 2013 ·Journal of Machine Learning Research ·Jun Wang,Tony Jebara,Shih‐Fu Chang	71
9	Learning with Partially Absorbing Random Walks 2012 ·Neural Information Processing Systems ·Xiao-Ming Wu,Zhenguo Li,Anthony Man–Cho So,John Wright,Shih‐Fu Chang	72
10	BBN VISER TRECVID 2011 Multimedia Event Detection System 2011 ·Journal of International Crisis and Risk Communication Research ·Pradeep Natarajan,Prem Natarajan,(unknown),Shuang Wu,Stavros Tsakalidis,Shiv Vitaladevuni,Xiaodan Zhuang,Rohit Prasad,Guangnan Ye,Dong Liu,I‐Hong Jhuo,Shih‐Fu Chang,Hamid Izadinia,Imran Saleemi,Mubarak Shah,Brandyn White,Tom Yeh,L. Taylor Davis	25
11	IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System 2011 ·TRECVID ·Liangliang Cao,Shih‐Fu Chang,Noel Codella,Courtenay V. Cotton,Dan Ellis,Leiguang Gong,(unknown),Gang Hua,John R. Kender,Michele Merler,Yadong Mu,Apostol Natsev,John R. Smith	21
12	Sequential Projection Learning for Hashing with Compact Codes 2010 ·International Conference on Machine Learning ·Jun Wang,Sanjiv Kumar,Shih‐Fu Chang	220
13	Enabling MPEG‐7 structural and semantic descriptions in retrieval applications 2007 ·Journal of the American Society for Information Science and Technology ·Ana B. Benitez,Di Zhong,Shih‐Fu Chang	2
14	Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction. 2005 ·TRECVID ·Shih‐Fu Chang,Winston H. Hsu,(unknown),Lyndon S. Kennedy,(unknown),Akira Yanagawa,Eric Zavesky	86
15	Multimedia knowledge integration, summarization and evaluation 2002 ·Ana B. Benitez,Shih‐Fu Chang	8
16	Proceedings of the eighth ACM international conference on Multimedia 2000 ·Shahram Ghandeharizadeh,Shih‐Fu Chang,Stephen M. Fischer,Joseph A. Konstan,Klara Nahrstedt	4
17	Proceedings of the 2000 ACM workshops on Multimedia 2000 ·Shahram Ghandeharizadeh,Shih‐Fu Chang,Stephen M. Fischer,Joseph A. Konstan,Klara Nahrstedt	8
18	Querying by color regions using VisualSEEk content-based visual query system 1997 ·John R. Smith,Shih‐Fu Chang	84
19	Visual information retrieval from large distributed online 1997 ·Communications of the ACM ·John R. Smith,Shih‐Fu Chang	1
20	<title>Tools and techniques for color image retrieval</title> 1996 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·John R. Smith,Shih‐Fu Chang	298

About Shih‐Fu Chang

Shih‐Fu Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 373 papers that have together received 21.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (172 papers), Video Analysis and Summarization (152 papers) and Image Retrieval and Classification Techniques (121 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (18.2k citations), Signal Processing (3.2k citations) and Media Technology (1.6k citations). Shih‐Fu Chang has collaborated with scholars based in United States, China and Singapore. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.

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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