Jingru Yi

1.2k total citations · 1 hit paper
25 papers, 642 citations indexed

About

Jingru Yi is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Jingru Yi has authored 25 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Biophysics and 5 papers in Artificial Intelligence. Recurrent topics in Jingru Yi's work include Cell Image Analysis Techniques (6 papers), Digital Imaging for Blood Diseases (5 papers) and Medical Image Segmentation Techniques (5 papers). Jingru Yi is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Digital Imaging for Blood Diseases (5 papers) and Medical Image Segmentation Techniques (5 papers). Jingru Yi collaborates with scholars based in United States, China and Netherlands. Jingru Yi's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Medical Image Analysis.

In The Last Decade

Jingru Yi

25 papers receiving 632 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

2021 233 citations Jingru Yi, Pengxiang Wu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jingru Yi United States	12	398	158	141	138	90	25	642
Pengxiang Wu United States	14	516 1.3×	160 1.0×	150 1.1×	193 1.4×	121 1.3×	25	832
Qiaoying Huang United States	11	341 0.9×	129 0.8×	158 1.1×	113 0.8×	79 0.9×	19	546
Said Pertuz Colombia	11	384 1.0×	458 2.9×	118 0.8×	99 0.7×	32 0.4×	47	889
Alex Levinshtein Canada	9	802 2.0×	309 2.0×	59 0.4×	76 0.6×	106 1.2×	16	1.1k
Anfei Fan United States	3	585 1.5×	37 0.2×	160 1.1×	132 1.0×	56 0.6×	6	699
Yuanhao Cai China	9	579 1.5×	404 2.6×	114 0.8×	47 0.3×	78 0.9×	18	901
Franck Marzani France	14	155 0.4×	61 0.4×	74 0.5×	127 0.9×	55 0.6×	57	569
Donggeun Yoo South Korea	8	592 1.5×	136 0.9×	42 0.3×	142 1.0×	34 0.4×	14	728
Yicheng Wu China	12	392 1.0×	86 0.5×	325 2.3×	151 1.1×	18 0.2×	32	775
Haonan Wang China	6	464 1.2×	88 0.6×	254 1.8×	269 1.9×	44 0.5×	12	748

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-authorship network of co-authors of Jingru Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Jingru Yi. A scholar is included among the top collaborators of Jingru Yi 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 Jingru Yi. Jingru Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yi, Jingru, Pengxiang Wu, Bo Liu, et al.. (2021). Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. 2149–2158. 233 indexed citations breakdown →

2.

Huang, Qiaoying, Yikun Xian, Dong Yang, et al.. (2020). Dynamic MRI reconstruction with end-to-end motion-guided network. Medical Image Analysis. 68. 101901–101901. 32 indexed citations

3.

Yi, Jingru, Hui Tang, Pengxiang Wu, et al.. (2020). Object-Guided Instance Segmentation for Biological Images. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12677–12684. 10 indexed citations

4.

Wu, Pengxiang, Hui Qu, Jingru Yi, et al.. (2019). Deep Attentive Feature Learning for Histopathology Image Classification. 1865–1868. 6 indexed citations

5.

Yi, Jingru, Pengxiang Wu, Qiaoying Huang, et al.. (2019). Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow. 3. 1057–1064. 2 indexed citations

6.

Yi, Jingru, Pengxiang Wu, Menglin Jiang, et al.. (2019). Attentive neural cell instance segmentation. Medical Image Analysis. 55. 228–240. 66 indexed citations

7.

Yi, Jingru, Pengxiang Wu, & Dimitris Metaxas. (2019). ASSD: Attentive single shot multibox detector. Computer Vision and Image Understanding. 189. 102827–102827. 67 indexed citations

8.

Wu, Pengxiang, Chao Chen, Jingru Yi, & Dimitris Metaxas. (2019). Point Cloud Processing via Recurrent Set Encoding. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5441–5449. 10 indexed citations

9.

Yi, Jingru, Pengxiang Wu, Qiaoying Huang, et al.. (2019). Context-Refined Neural Cell Instance Segmentation. 1028–1032. 9 indexed citations

10.

Huang, Qiaoying, Dong Yang, Pengxiang Wu, et al.. (2019). MRI Reconstruction Via Cascaded Channel-Wise Attention Network. 1622–1626. 46 indexed citations

11.

Yi, Jingru, Pengxiang Wu, Daniel J. Hoeppner, & Dimitris Metaxas. (2018). Pixel-wise neural cell instance segmentation. 373–377. 18 indexed citations

12.

Qu, Hui, Pengxiang Wu, Qiaoying Huang, et al.. (2018). Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images. 390–400. 22 indexed citations

13.

Huang, Qiaoying, Dong Won Yang, Hui Qu, et al.. (2018). Dynamic MRI Reconstruction with Motion-Guided Network. 275–284. 2 indexed citations

14.

Zhang, Yuntian, Gang Zhao, Jingru Yi, et al.. (2015). Comparison of the Fitting Validity Between the 2P Model and the Nondilute Solution Model Using Statistical Methods in Modeling Cell Membrane Permeabilities. Biopreservation and Biobanking. 14(1). 39–44. 3 indexed citations

15.

Zhao, Gang, Jingru Yi, Cai Gao, et al.. (2014). Effect of hydroxyapatite nanoparticles on osmotic responses of pig iliac endothelial cells. Cryobiology. 69(2). 273–280. 11 indexed citations

16.

Yi, Jingru, et al.. (2014). Influence of hydroxyapatite nanoparticles on the viscosity of dimethyl sulfoxide–H2O–NaCl and glycerol–H2O–NaCl ternary systems at subzero temperatures. Cryobiology. 69(2). 291–298. 5 indexed citations

17.

Yi, Jingru, et al.. (2014). An Improved Model for Nucleation-Limited Ice Formation in Living Cells during Freezing. PLoS ONE. 9(5). e98132–e98132. 16 indexed citations

18.

Liang, Xin, Xiaoming Zhou, Gang Zhao, et al.. (2014). C-4. Cryobiology. 69(3). 503–504. 2 indexed citations

19.

Wu, Pengxiang, Jingru Yi, Gang Zhao, et al.. (2014). Active Contour-Based Cell Segmentation During Freezing and Its Application in Cryopreservation. IEEE Transactions on Biomedical Engineering. 62(1). 284–295. 23 indexed citations

20.

Yi, Jingru & Gang Zhao. (2014). Effect of Hydroxyapatite Nanoparticles on Biotransport Phenomena in Freezing HeLa Cells. Journal of Nanotechnology in Engineering and Medicine. 5(4). 4 indexed citations

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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