Ming Jiang

405 citations
45 papers · 290 · h-index 9

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 10
    • Multimodal Machine Learning Applications 9
    • Video Surveillance and Tracking Methods 9
    • Human Pose and Action Recognition 5
    • Domain Adaptation and Few-Shot Learning 7
    • Sentiment Analysis and Opinion Mining 5

Ming Jiang

37 papers receiving 280 citations

Peers

Ming Jiang
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 134
  • Artificial Intelligence 130
  • Computer Networks and Communications 72
  • Health Informatics 2
  • Information Systems 32
Replace Zhiyuan Xie with:
Zhiyuan Xie Hong Kong
G. N. Vivekananda India
Nazir Ahmed Malik Pakistan
Stefanos Laskaridis United Kingdom
Iveta Dirgová Ľuptáková Slovakia
Tianxiang Tan United States
Lingxiao Yang China
Zun Wang China
Hanhua Chen China
David S. Munro Australia
Ming Jiang relative to Zhiyuan Xie Hong Kong Zhiyuan Xie's profile →
Citations per field
00.5×12×
Zhiyuan Xie · 1×
Citations per year

Countries citing papers authored by Ming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201940
2 201934
3 201025
4 201924
5 202119
6 202115
7 202111
8 202210
9 20249
10
An efficient virtual network embedding algorithm with delay constraints
20138
11 20207
12 20147
13 20226
14 20226
15 20126
16 20166
17 20225
18 20155
19 20214
20 20224

About Ming Jiang

Ming Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 45 papers that have together received 290 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (9 papers), Video Surveillance and Tracking Methods (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Optical Network Technologies (6 papers), Human Pose and Action Recognition (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Artificial Intelligence (130 citations), Computer Networks and Communications (72 citations), Health Informatics (2 citations) and Information Systems (32 citations). Ming Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qi Zhao, Min Zhang, Chunming Wu, Xianyu Chen, Yifeng Zhang, Qiang Yang, Tao Wen, Jana Diesner, Xin Wang and Jianfeng Gao. Their work appears in journals such as Computational Intelligence and Neuroscience, PeerJ Computer Science, Neural Computing and Applications, IEEE Access and IEEE Internet of Things Journal.

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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