Heming Du

649 citations
42 papers · 435 · h-index 8

Impact in

Papers in

Heming Du

33 papers receiving 425 citations

Peers

Heming Du
Comparison fields: 5 of 41
  • Experimental and Cognitive Psychology 134
  • Computer Vision and Pattern Recognition 106
  • Artificial Intelligence 103
  • General Engineering 1
  • Signal Processing 24
Replace Kazuya Takeda with:
Kazuya Takeda Japan
Hongxia Xie Taiwan
Haisong Gu United States
Weijian Li China
Zhimeng Zhang China
Runbo Hu China
Ziliang Ren China
Heming Du relative to Kazuya Takeda Japan Kazuya Takeda's profile →
Citations per field
00.5×2×4×6×8.8×
Kazuya Takeda · 1×
Citations per year

Countries citing papers authored by Heming Du

Since Specialization
Citations

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

Fields of papers citing papers by Heming Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 202097
3 202269
4 202325
5 202315
6 202312
7
A Locality Aware City-Scale Multi-Camera Vehicle Tracking System
201911
8
Vehicle Re-Identification with Location and Time Stamps
20199
9 20248
10 20248
11 20227
12 20196
13 20245
14 20244
15 20264
16 20243
17 20243
18 20253
19 20253
20 20232

About Heming Du

Heming Du is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 42 papers that have together received 435 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (7 papers), Multimodal Machine Learning Applications (6 papers), Hand Gesture Recognition Systems (6 papers), Reinforcement Learning in Robotics (4 papers), Emotion and Mood Recognition (4 papers), Misinformation and Its Impacts (3 papers), 3D Shape Modeling and Analysis (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (134 citations), Computer Vision and Pattern Recognition (106 citations), Artificial Intelligence (103 citations), General Engineering (1 citation) and Signal Processing (24 citations). Heming Du has collaborated with scholars based in Australia, China and Macao. Frequent co-authors include Liang Zheng, Xin Feng Yu, Tom Gedeon, Yuchi Liu, Wen Li, Lincheng Li, Z Zhangqin Huang, Yunzhong Hou, Yueqi Duan and Hehe Fan. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Computer Vision and Image Understanding, Lecture notes in computer science, Mathematics and AI and Ethics.

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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