Jingru Yang

1.1k total citations · 1 hit paper
64 papers, 739 citations indexed

About

Jingru Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Jingru Yang has authored 64 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Oncology. Recurrent topics in Jingru Yang's work include Ubiquitin and proteasome pathways (6 papers), Membrane Separation Technologies (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jingru Yang is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Membrane Separation Technologies (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jingru Yang collaborates with scholars based in China, United States and Singapore. Jingru Yang's co-authors include Minghong Bi, Yaping Wang, Xianquan Zhan, Guodong Lu, Cong Song, Cheng Zhang, Ju Fan, Xiaoyong Du, Ting Yan and Zhewei Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Oncogene.

In The Last Decade

Jingru Yang

62 papers receiving 726 citations

Hit Papers

High Selectivity Fluorescence and Electrochemical Dual-Mo... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingru Yang China 16 205 100 69 68 61 64 739
Huan Dai China 17 104 0.5× 105 1.1× 18 0.3× 24 0.4× 18 0.3× 62 1.2k
Wenjie Zhang China 19 229 1.1× 220 2.2× 6 0.1× 24 0.4× 15 0.2× 94 1.5k
Zuyi Huang United States 19 249 1.2× 186 1.9× 20 0.3× 11 0.2× 10 0.2× 71 872
Ali Thaeer Hammid Iraq 19 155 0.8× 207 2.1× 6 0.1× 50 0.7× 14 0.2× 55 1.1k
Junichi Mori Japan 17 120 0.6× 72 0.7× 5 0.1× 41 0.6× 51 0.8× 70 768
Ling Ou China 18 254 1.2× 34 0.3× 10 0.1× 104 1.5× 6 0.1× 70 850
Lijuan Cao China 16 110 0.5× 28 0.3× 10 0.1× 56 0.8× 6 0.1× 79 670
Lin Lv China 13 75 0.4× 42 0.4× 5 0.1× 22 0.3× 15 0.2× 89 639
Uzma Farooq Pakistan 14 52 0.3× 67 0.7× 9 0.1× 6 0.1× 9 0.1× 62 903
Aixia Chen China 19 120 0.6× 123 1.2× 3 0.0× 19 0.3× 26 0.4× 59 1000

Countries citing papers authored by Jingru Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingru Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingru Yang

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

All Works

20 of 20 papers shown
1.
Yang, Jingru, et al.. (2025). Sketch-SparseNet: Sparse convolution framework for sketch recognition. Pattern Recognition. 167. 111682–111682. 1 indexed citations
2.
Yu, Huan, et al.. (2025). GasSeg: A lightweight real-time infrared gas segmentation network for edge devices. Pattern Recognition. 170. 111931–111931. 1 indexed citations
3.
Lu, Yongbin, Yushe Dang, Yilin Chen, et al.. (2025). The impact of cadmium exposure on breast cancer risk: Exploring dose-response relationships and mediating effects. Ecotoxicology and Environmental Safety. 297. 118247–118247. 5 indexed citations
4.
Dong, Hui, Weitian Chen, Ke Xu, et al.. (2025). High Selectivity Fluorescence and Electrochemical Dual-Mode Detection of Glutathione in the Serum of Parkinson’s Disease Model Mice and Humans. Analytical Chemistry. 97(2). 1318–1328. 21 indexed citations breakdown →
5.
Guo, Liping, et al.. (2024). Role of Th2, Th17 and Treg Cells and relevant cytokines in pathogenesis of allergic rhinitis. Allergy Asthma and Clinical Immunology. 20(1). 40–40. 7 indexed citations
6.
Yang, Jingru, Jin Wang, Shengfeng He, et al.. (2024). Granular3D: Delving into multi-granularity 3D scene graph prediction. Pattern Recognition. 153. 110562–110562. 2 indexed citations
7.
Du, Fei, et al.. (2024). A Survey of LLM Datasets: From Autoregressive Model to AI Chatbot. Journal of Computer Science and Technology. 39(3). 542–566. 7 indexed citations
8.
Cao, Kai, et al.. (2024). Recent advances in nanotechnology for programmed death ligand 1-targeted cancer theranostics. Journal of Materials Chemistry B. 12(13). 3191–3208. 1 indexed citations
9.
Zhang, Tao, Fei Su, Bofang Wang, et al.. (2024). Ubiquitin specific peptidase 38 epigenetically regulates KLF transcription factor 5 to augment malignant progression of lung adenocarcinoma. Oncogene. 43(16). 1190–1202. 9 indexed citations
10.
Zheng, Linlin, Yanan Chen, Ziyi Zhang, et al.. (2024). In Situ NH2-MIL-101(Fe) Nanoparticles Modified Pencil Core Electrodes for Simultaneous Ratiometric Electrochemical Detection of Caffeic Acid and Acetaminophen. ACS Applied Nano Materials. 7(14). 16295–16305. 6 indexed citations
11.
Yang, Jingru, Jin Wang, Guodong Lu, et al.. (2024). MsVFE and V-SIAM: Attention-based multi-scale feature interaction and fusion for outdoor LiDAR semantic segmentation. Neurocomputing. 584. 127576–127576. 4 indexed citations
12.
Yu, Huan, et al.. (2023). A lightweight network based on local–global feature fusion for real-time industrial invisible gas detection with infrared thermography. Applied Soft Computing. 152. 111138–111138. 14 indexed citations
13.
Wang, Jin, et al.. (2023). Cross-Modal Pixel-and-Stroke representation aligning networks for free-hand sketch recognition. Expert Systems with Applications. 240. 122505–122505. 3 indexed citations
14.
Wang, Jin, Jingru Yang, Ying Yang, et al.. (2023). IEFM and IDS: Enhancing 3D environment perception via information encoding in indoor point cloud semantic segmentation. Neurocomputing. 563. 126944–126944. 5 indexed citations
15.
Yang, Jingru, Yongbin Lu, Yi Xiao, et al.. (2023). USP10 promotes the progression of triple-negative breast cancer by enhancing the stability of TCF4 protein. Biochemical Pharmacology. 218. 115864–115864. 4 indexed citations
16.
Wang, Jin, Jingru Yang, Guodong Lu, et al.. (2023). Adaptively Fused Attention Module for the Fabric Defect Detection. SHILAP Revista de lepidopterología. 5(2). 10 indexed citations
17.
Wang, Jin, Cheng Zhang, Ting Yan, et al.. (2022). A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation. Complex & Intelligent Systems. 9(4). 4227–4247. 10 indexed citations
18.
Yang, Jingru, Cong Song, & Xianquan Zhan. (2022). The role of protein acetylation in carcinogenesis and targeted drug discovery. Frontiers in Endocrinology. 13. 972312–972312. 31 indexed citations
19.
Zhao, Kai, Xuetong Li, Jingru Yang, et al.. (2022). Effects of climate change on the geographical distribution and potential distribution areas of 35 Millettia Species in China. Environmental Science and Pollution Research. 30(7). 18535–18545. 4 indexed citations
20.
Ren, Yujie, et al.. (2019). Clinical and pathological observation of 455 cases of orbital soft tissue tumor. SHILAP Revista de lepidopterología. 1 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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