Tingjin Luo

516 citations
39 papers · 365 · h-index 12

Impact in

Papers in

    • Face and Expression Recognition 14
    • Advanced Image and Video Retrieval Techniques 9
    • Multimodal Machine Learning Applications 4
    • Image Retrieval and Classification Techniques 4
    • Text and Document Classification Technologies 8
    • Domain Adaptation and Few-Shot Learning 6
    • Machine Learning and Data Classification 4

Tingjin Luo

33 papers receiving 357 citations

Peers

Tingjin Luo
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 248
  • Media Technology 66
  • Artificial Intelligence 176
  • Urban Studies 20
  • Computational Mechanics 45
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Songcan Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Tingjin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Tingjin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201836
3 201734
4 201827
5 201824
6 201522
7 201920
8 202120
9 201819
10 201816
11 201711
12 202111
13 201710
14 20208
15 20177
16 20217
17 20227
18 20237
19 20246
20 20216

About Tingjin Luo

Tingjin Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Molecular Biology and Media Technology, having authored 39 papers that have together received 365 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Advanced Image and Video Retrieval Techniques (9 papers), Text and Document Classification Technologies (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Image Retrieval and Classification Techniques (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Media Technology (66 citations), Artificial Intelligence (176 citations), Urban Studies (20 citations) and Computational Mechanics (45 citations). Tingjin Luo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chenping Hou, Dongyun Yi, Feiping Nie, Hong Tao, Ruidong Fan, Yuanyuan Jiao, Zhi‐Hua Zhou, Jun Zhang, Hao Zhou and Jun Zhang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Image Processing, Pattern Recognition and IEEE Access.

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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