Jiaming Lu

405 citations
21 papers · 306 · h-index 8

Impact in

Papers in

Jiaming Lu

20 papers receiving 303 citations

Peers

Jiaming Lu
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 121
  • Media Technology 39
  • Process Chemistry and Technology 12
  • Computer Graphics and Computer-Aided Design 14
  • Organic Chemistry 86
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Xiangbo Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Jiaming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiaming Lu, 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 Jiaming Lu Line = papers co-authored together Jiaming Lu 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 201877
2 201946
3 202045
4 201335
5 201829
6 201722
7 200710
8 20198
9 20216
10 20196
11 20214
12 20193
13 20183
14 20243
15 20233
16 20102
17
Investigation and analysis of environmental factors on the first local human swine influenza case in China.
20091
18 20251
19
Determination of endocrine disrupting chemicals in activated sludge.
20101
20 20241

About Jiaming Lu

Jiaming Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Materials Chemistry, Organic Chemistry and Mechanics of Materials, having authored 21 papers that have together received 306 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Numerical methods in engineering (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Advanced Neural Network Applications (2 papers), Visual Attention and Saliency Detection (2 papers), Catalytic Processes in Materials Science (2 papers), Image and Video Quality Assessment (2 papers) and Covalent Organic Framework Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Media Technology (39 citations), Process Chemistry and Technology (12 citations), Computer Graphics and Computer-Aided Design (14 citations) and Organic Chemistry (86 citations). Jiaming Lu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Song–Hai Zhang, Yifan Lu, Peter Hall, Shi‐Min Hu, Zhe Zhu, Xiao‐Feng Wu, Wei Yan, Chengli Tang, Wei Sun and Jun Ying. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics, IEEE Transactions on Intelligent Transportation Systems, Journal of Tropical Medicine and Computational Visual Media.

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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