Mingfei Han

449 citations
10 papers · 209 · h-index 5

Impact in

Papers in

Mingfei Han

8 papers receiving 206 citations

Peers

Mingfei Han
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 181
  • Aerospace Engineering 66
  • Safety, Risk, Reliability and Quality 24
  • Media Technology 21
  • Artificial Intelligence 58
Replace Yangliu Kuai with:
Yangliu Kuai China
Vikas Reddy Australia
Jana Nosková Czechia
Yilei Xiong China
Zhanxiang Feng China
Yaozong Zheng China
Shenyuan Gao Hong Kong
Qingxuan Lv China
Matthieu Paul Switzerland
Mingfei Han relative to Yangliu Kuai China Yangliu Kuai's profile →
Citations per field
00.5×2.6×
Yangliu Kuai · 1×
Citations per year

Countries citing papers authored by Mingfei Han

Since Specialization
Citations

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

Fields of papers citing papers by Mingfei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingfei Han. 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 Mingfei Han. The network helps show where Mingfei Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingfei Han, 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 Mingfei Han Line = papers co-authored together Mingfei Han links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019127
2 202247
3 202313
4
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.
20198
5 20246
6 20243
7 20183
8 20242
9 20250
10 20250

About Mingfei Han

Mingfei Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 10 papers that have together received 209 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers), Video Analysis and Summarization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Aerospace Engineering (66 citations), Safety, Risk, Reliability and Quality (24 citations), Media Technology (21 citations) and Artificial Intelligence (58 citations). Mingfei Han has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Xue Wan, Shengyang Li, Gui-Song Xia, Shiyu Xuan, Xiaojun Chang, Lina Yao, Yu Qiao, Yali Wang, Rui Yan and Zhihui Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Monash University Research Portal (Monash University).

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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