Fa-Ting Hong

981 citations
21 papers · 719 · 1 hit paper · h-index 9

Impact in

    • Human Pose and Action Recognition
    • Generative Adversarial Networks and Image Synthesis
    • Face recognition and analysis
    • Video Analysis and Summarization
    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications
    • Video Surveillance and Tracking Methods
    • Anomaly Detection Techniques and Applications

Papers in

    • Generative Adversarial Networks and Image Synthesis 10
    • Face recognition and analysis 3
    • Advanced Image and Video Retrieval Techniques 3
    • Human Pose and Action Recognition 3
    • Advanced Neural Network Applications 3
    • Video Analysis and Summarization 1
    • Visual Attention and Saliency Detection 1
    • Robotics and Sensor-Based Localization 2

Fa-Ting Hong

18 papers receiving 701 citations

Fa-Ting Hong's Hit Papers

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection 2021 · 277 citations
2770+1+3Years since publication50100150200250

Peers

Fa-Ting Hong
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 422
  • Artificial Intelligence 260
  • Signal Processing 27
  • Computational Mechanics 21
  • Automotive Engineering 8
Replace Aaron Chadha with:
Aaron Chadha United Kingdom
Boyuan Jiang China
Pengfei Fang China
Xijie Huang Hong Kong
Kuan-Chieh Wang United States
Junjie Ke United States
Haonan Qiu China
Guile Wu United Kingdom
Steve Cruz United States
Fa-Ting Hong relative to Aaron Chadha United Kingdom Aaron Chadha's profile →
Citations per field
00.5×2×3×4.4×
Aaron Chadha · 1×
Citations per year

Countries citing papers authored by Fa-Ting Hong

Since Specialization
Citations

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

Fields of papers citing papers by Fa-Ting Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Ting Hong. 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 Fa-Ting Hong. The network helps show where Fa-Ting Hong may publish in the future.

Co-authors

The 25 scholars most cited alongside Fa-Ting Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fa-Ting Hong Line = papers co-authored together Fa-Ting Hong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Hit paper breakdown →
2021277
2 2022132
3 202185
4 202056
5 202056
6 202330
7 201926
8 202015
9 202311
10 20178
11 20256
12 20245
13 20173
14 20173
15 20252
16 20252
17 20221
18 20251
19 20250
20 20250

About Fa-Ting Hong

Fa-Ting Hong is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 21 papers that have together received 719 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Face recognition and analysis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Human Pose and Action Recognition (3 papers), Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Video Analysis and Summarization (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (422 citations), Artificial Intelligence (260 citations), Signal Processing (27 citations), Computational Mechanics (21 citations) and Automotive Engineering (8 citations). Fa-Ting Hong has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wei‐Shi Zheng, Dan Xu, Weihong Li, Ying Shan, Jianhuang Lai, YaoWei Wang, Li Shen, Sheng Bi, Qinglin Lu and Jian–Fang Hu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems.

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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