Ji He

1.2k citations
41 papers · 579 · h-index 12

Impact in

Papers in

Ji He

40 papers receiving 563 citations

Peers

Ji He
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 296
  • Biomedical Engineering 260
  • Computer Vision and Pattern Recognition 74
  • Radiation 31
  • Cancer Research 29
Replace Olof Enqvist with:
Olof Enqvist Sweden
Md Tauhidul Islam United States
Jin Tang China
Binjie Qin China
Tran Minh Quan South Korea
Tobias Boskamp Germany
Kevin M. Cherry United States
Christopher Gilliam Australia
L. Pickup United Kingdom
P. Almeida Portugal
Ji He relative to Olof Enqvist Sweden Olof Enqvist's profile →
Citations per field
00.5×1.5×2.2×
Olof Enqvist · 1×
Citations per year

Countries citing papers authored by Ji He

Since Specialization
Citations

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

Fields of papers citing papers by Ji He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 202097
3 200843
4 201834
5 201832
6 202131
7 201627
8 202025
9 202215
10 202114
11
End-to-end learning of LDA by mirror-descent back propagation over a deep architecture
201511
12 201911
13 20249
14 20169
15 20238
16 20228
17 20128
18 20187
19 20197
20 20187

About Ji He

Ji He is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 41 papers that have together received 579 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Advanced X-ray and CT Imaging (12 papers), Advanced MRI Techniques and Applications (7 papers), Radiation Dose and Imaging (5 papers), Topic Modeling (5 papers), Water resources management and optimization (5 papers), Reservoir Engineering and Simulation Methods (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (296 citations), Biomedical Engineering (260 citations), Computer Vision and Pattern Recognition (74 citations), Radiation (31 citations) and Cancer Research (29 citations). Ji He has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jianhua Ma, Yongbo Wang, Dong Zeng, Zhaoying Bian, Hao Zhang, Zongben Xu, Yan Yang, Jian Sun, Yuan Bo Peng and J.‐C. Chiao. Their work appears in journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology, Scientific Reports, IEEE Journal of Biomedical and Health Informatics and Metabolism.

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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