Jingru Yi

1.2k citations
25 papers · 642 · 1 hit paper · h-index 12

Impact in

Papers in

Jingru Yi

25 papers receiving 632 citations

Jingru Yi's Hit Papers

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors 2021 · 233 citations
2330+1+3Years since publication50100150200

Peers

Jingru Yi
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 398
  • Media Technology 158
  • Biophysics 78
  • Radiology, Nuclear Medicine and Imaging 141
  • Artificial Intelligence 138
Replace Pengxiang Wu with:
Pengxiang Wu United States
Qiaoying Huang United States
Alex Levinshtein Canada
Said Pertuz Colombia
Yuanhao Cai China
Anfei Fan United States
Franck Marzani France
Yicheng Wu China
Donggeun Yoo South Korea
Hatice Çınar Akakın Türkiye
Jingru Yi relative to Pengxiang Wu United States Pengxiang Wu's profile →
Citations per field
00.5×
Pengxiang Wu · 1×
Citations per year

Countries citing papers authored by Jingru Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jingru Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Hit paper breakdown →
2021233
2 201967
3 201966
4 201946
5 202032
6 201927
7 201423
8
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images
201822
9 201818
10 201416
11 202015
12 201411
13 201711
14 202010
15 201910
16 20199
17 20196
18 20145
19 20144
20 20153

About Jingru Yi

Jingru Yi is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 25 papers that have together received 642 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (5 papers), Digital Imaging for Blood Diseases (5 papers), Image Processing Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), AI in cancer detection (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Media Technology (158 citations), Biophysics (78 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Artificial Intelligence (138 citations). Jingru Yi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Pengxiang Wu, Dimitris Metaxas, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris Metaxas, Gang Zhao, Dong Yang and Menglin Jiang. Their work appears in journals such as Cryobiology, Medical Image Analysis, IEEE Transactions on Biomedical Engineering, Biopreservation and Biobanking and Computer Vision and Image Understanding.

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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