Lijia Deng

496 citations
9 papers · 360 indexed · 1 hit paper · h-index 7
Topics
Video Surveillance and Tracking Methods (2 papers)AI in cancer detection (2 papers)Image Processing Techniques and Applications (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Lijia Deng

9 papers receiving 351 citations

Hit Papers

Deep learning in food category recognition2023202620242025202350100150200

Peers

Lijia Deng
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 112
  • Artificial Intelligence 94
  • Biomedical Engineering 64
  • Radiology, Nuclear Medicine and Imaging 54
  • Neurology 38
Replace Mona A. S. Ali with:
Mona A. S. Ali Egypt
Fathimathul Rajeena P. P. Saudi Arabia
Abdullah Elen Türkiye
Amr Abozeid Saudi Arabia
Ahmed I. Shahin Egypt
Weiming Wu China
Amr A. Sharawi Egypt
Amena Mahmoud Egypt
Mohamed A. El-Sayed Egypt
Tomoko Tateyama Japan
Lijia Deng relative to Mona A. S. Ali Egypt Mona A. S. Ali's profile →
Citations per field
00.5×3.6×
Mona A. S. Ali · 1×
Citations per year

Countries citing papers authored by Lijia Deng

Since Specialization
Citations

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

Fields of papers citing papers by Lijia Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijia Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Lijia Deng. A scholar is included among the top collaborators of Lijia Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lijia Deng. Lijia Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 13
3 14
4
Deep learning in food category recognitionbreakdown →
245
5 9
6 14
7 6
8 17
9 40

About Lijia Deng

Lijia Deng is a scholar working on Biophysics, Media Technology and Computer Science Applications, having authored 9 papers that have together received 360 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), AI in cancer detection (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Statistics, Probability and Uncertainty (35 citations) and Neurology (38 citations). Lijia Deng has collaborated with scholars based in United Kingdom, China and Saudi Arabia. Frequent co-authors include Yudong Zhang, Shuihua Wang‎, Qinghua Zhou, J. M. Górriz, Wei Wang, Siyuan Lu, Ziquan Zhu, Hengde Zhu, Zeyu Ren and Tanya Walsh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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