Lu Jin

779 citations
21 papers · 588 · h-index 10

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 18
    • Image Retrieval and Classification Techniques 8
    • Video Surveillance and Tracking Methods 8
    • Multimodal Machine Learning Applications 8
    • Advanced Neural Network Applications 7
    • Human Pose and Action Recognition 2
    • Domain Adaptation and Few-Shot Learning 5
    • Fuzzy Logic and Control Systems 1

Lu Jin

19 papers receiving 574 citations

Peers

Lu Jin
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 412
  • Management Science and Operations Research 95
  • Artificial Intelligence 174
  • Statistics and Probability 33
  • Media Technology 33
Replace Appachi Vadivel with:
Appachi Vadivel India
Magdi A. Mohamed United States
Hanuman Verma India
Amir massoud Farahmand Canada
Ricardo Sousa Portugal
Ali Hassan El-Baz Egypt
Deba Prasad Mandal India
Chengmao Wu China
Xuchan Ju China
Swarup Kr Ghosh India
Lu Jin relative to Appachi Vadivel India Appachi Vadivel's profile →
Citations per field
00.5×2×3×3.6×
Appachi Vadivel · 1×
Citations per year

Countries citing papers authored by Lu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Lu Jin, 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 Lu Jin Line = papers co-authored together Lu Jin 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 2011116
2 202086
3 201885
4 201866
5 201551
6 201436
7 201734
8 202332
9 202024
10 202317
11 20249
12 20246
13 20235
14 20195
15 20215
16 20154
17 20183
18 20192
19 20132
20 20200

About Lu Jin

Lu Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability, Management Science and Operations Research and Aerospace Engineering, having authored 21 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (8 papers), Video Surveillance and Tracking Methods (8 papers), Multimodal Machine Learning Applications (8 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Human Pose and Action Recognition (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (412 citations), Management Science and Operations Research (95 citations), Artificial Intelligence (174 citations), Statistics and Probability (33 citations) and Media Technology (33 citations). Lu Jin has collaborated with scholars based in China and United States. Frequent co-authors include Jinhui Tang, Zechao Li, Dan E. Tamir, Abraham Kandel, Guo-Jun Qi, Shenghua Gao, Kai Li, Xiangbo Shu, Kai Li and Fu Xiao. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Intelligent Systems and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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