Boyi Jiang

1.0k citations
24 papers · 556 · h-index 10

Impact in

Papers in

Boyi Jiang

24 papers receiving 530 citations

Peers

Boyi Jiang
Comparison fields: 5 of 88
  • Computer Graphics and Computer-Aided Design 79
  • Computer Vision and Pattern Recognition 268
  • Endocrinology, Diabetes and Metabolism 157
  • Computational Mechanics 175
  • Genetics 87
Replace Montserrat Manubens with:
Montserrat Manubens Spain
D. Pedoe United States
Yong Jin China
Gerard Sanromà Spain
Pierre Jallon France
Jason Yang United States
Nuwan D. Nanayakkara Sri Lanka
Rui Fonseca-Pinto Portugal
Boyi Jiang relative to Montserrat Manubens Spain Montserrat Manubens's profile →
Citations per field
00.5×10×15.8×
Montserrat Manubens · 1×
Citations per year

Countries citing papers authored by Boyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Boyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018126
2 202288
3 201376
4 201556
5 202152
6 201539
7 201736
8 202017
9 201817
10 20179
11 20227
12
3DFaceNet: Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images
20176
13 20156
14 20234
15 20204
16 20233
17
Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction.
20172
18 20142
19 20221
20 20231

About Boyi Jiang

Boyi Jiang is a scholar working on Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism, Surgery, Computational Mechanics and Genetics, having authored 24 papers that have together received 556 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Face recognition and analysis (6 papers), 3D Shape Modeling and Analysis (5 papers), Pancreatic function and diabetes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes and associated disorders (3 papers), Advanced Vision and Imaging (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Computer Vision and Pattern Recognition (268 citations), Endocrinology, Diabetes and Metabolism (157 citations), Computational Mechanics (175 citations) and Genetics (87 citations). Boyi Jiang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Juyong Zhang, Yudong Guo, Jianmin Zheng, Hujun Bao, H. C. Yang, Jianfei Cai, Marc D. Breton, Sue A. Brown, Eugene J. Barrett and Corey A. Rynders. Their work appears in journals such as Journal of Diabetes Science and Technology, Neurocomputing, International Journal of Surgery, IEEE Transactions on Visualization and Computer Graphics and Diabetes Technology & Therapeutics.

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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