Luhong Jin

721 total citations
24 papers, 436 citations indexed

About

Luhong Jin is a scholar working on Biophysics, Biomedical Engineering and Structural Biology. According to data from OpenAlex, Luhong Jin has authored 24 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biophysics, 10 papers in Biomedical Engineering and 6 papers in Structural Biology. Recurrent topics in Luhong Jin's work include Advanced Fluorescence Microscopy Techniques (17 papers), Cell Image Analysis Techniques (11 papers) and Optical Coherence Tomography Applications (6 papers). Luhong Jin is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (17 papers), Cell Image Analysis Techniques (11 papers) and Optical Coherence Tomography Applications (6 papers). Luhong Jin collaborates with scholars based in China, Belarus and United States. Luhong Jin's co-authors include Yingke Xu, Timothy C. Elston, Fenqiang Zhao, Klaus M. Hahn, Bowei Dong, Jincheng Chen, Sergey Ablameyko, Qiuyu Fang, Zhichao Liu and Zhaozheng Yin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Luhong Jin

20 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luhong Jin China 8 267 171 90 74 68 24 436
Chang Qiao China 9 341 1.3× 191 1.1× 177 2.0× 109 1.5× 53 0.8× 13 564
Ronald Gao United States 2 317 1.2× 179 1.0× 165 1.8× 125 1.7× 64 0.9× 5 545
Haosen Liu Hong Kong 5 287 1.1× 167 1.0× 82 0.9× 83 1.1× 133 2.0× 8 478
Yiyin Jin United States 3 359 1.3× 234 1.4× 195 2.2× 139 1.9× 95 1.4× 8 673
Benedict Diederich Germany 9 200 0.7× 143 0.8× 36 0.4× 50 0.7× 78 1.1× 17 356
Junchao Fan China 9 369 1.4× 213 1.2× 78 0.9× 109 1.5× 178 2.6× 18 605
Ivan Rey‐Suarez United States 10 235 0.9× 139 0.8× 55 0.6× 45 0.6× 84 1.2× 12 398
Yubing Han China 10 218 0.8× 187 1.1× 38 0.4× 72 1.0× 153 2.3× 50 493
Amit Lal China 5 455 1.7× 283 1.7× 112 1.2× 140 1.9× 138 2.0× 8 640
Heng Mao China 9 409 1.5× 269 1.6× 76 0.8× 165 2.2× 170 2.5× 20 692

Countries citing papers authored by Luhong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Luhong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luhong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Luhong Jin. A scholar is included among the top collaborators of Luhong Jin 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 Luhong Jin. Luhong Jin 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.
Yao, Yuanfa, Luhong Jin, Weiyun Sun, et al.. (2024). Optogenetic Strategies for Optimizing the Performance of Phospholipids Biosensors. Advanced Science. 11(36). e2403026–e2403026. 2 indexed citations
2.
Wang, Jianhang, Tianyu Ma, Luhong Jin, et al.. (2024). Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging. IEEE Journal of Biomedical and Health Informatics. 29(4). 2669–2682.
3.
Jin, Luhong, Jingfang Liu, Heng Zhang, et al.. (2024). Deep learning permits imaging of multiple structures with the same fluorophores. Biophysical Journal. 123(20). 3540–3549.
4.
Zhang, Jinfeng, Yunbo Chen, Cheng Ji, et al.. (2024). Universal and High-Fidelity Resolution Extending for Fluorescence Microscopy Using a Single-Training Physics-Informed Sparse Neural Network. SHILAP Revista de lepidopterología. 3. 1 indexed citations
5.
Chen, Jincheng, Qiuyu Fang, Li Huang, et al.. (2023). Deep-learning accelerated super-resolution radial fluctuations (SRRF) enables real-time live cell imaging. Optics and Lasers in Engineering. 172. 107840–107840. 7 indexed citations
6.
Zhu, Min, et al.. (2023). Deep learning-enabled fast DNA-PAINT imaging in cells. Biophysics Reports. 9(4). 177–177. 1 indexed citations
7.
Zhu, Min, et al.. (2022). DNA-PAINT Imaging Accelerated by Machine Learning. Frontiers in Chemistry. 10. 864701–864701. 5 indexed citations
8.
Xu, Yingke, Luhong Jin, & Derek Toomre. (2022). Imaging Single-Vesicle Exocytosis with Total Internal Reflection Fluorescence Microscopy (TIRFM). Methods in molecular biology. 2473. 157–164. 1 indexed citations
9.
Zhou, Otto, Calvin M. Bower, & Luhong Jin. (2022). Alignment of carbon nanotubes in a polymer matrix by mechanical stretching. Carolina Digital Repository (University of North Carolina at Chapel Hill). 1 indexed citations
10.
Yu, Jiahui, Luhong Jin, Qi Gao, et al.. (2022). A deep learning based method for automatic analysis of high-throughput droplet digital PCR images. The Analyst. 148(2). 239–247. 10 indexed citations
11.
Liu, Zhichao, Luhong Jin, Jincheng Chen, et al.. (2021). A survey on applications of deep learning in microscopy image analysis. Computers in Biology and Medicine. 134. 104523–104523. 103 indexed citations
12.
Li, Xiaoyan, Wenjie Liu, Luhong Jin, et al.. (2021). Speckle-free laser projection structured illumination microscopy based on a digital micromirror device. Optics Express. 29(26). 43917–43917. 6 indexed citations
13.
Jin, Luhong, Fenqiang Zhao, Bowei Dong, et al.. (2020). Deep learning enables structured illumination microscopy with low light levels and enhanced speed. Nature Communications. 11(1). 1934–1934. 172 indexed citations
14.
Jin, Luhong, Xiaoxu Zhou, Cuifang Kuang, et al.. (2020). Development of fan‐shaped tracker for single particle tracking. Microscopy Research and Technique. 83(9). 1056–1065. 4 indexed citations
15.
Liu, Wenjie, Zhimin Zhang, Cheng Zheng, et al.. (2018). Multi-color live-cell super-resolution volume imaging with multi-angle interference microscopy. Nature Communications. 9(1). 4818–4818. 53 indexed citations
16.
Zhou, Xiaoxu, Jian Wang, Junye Chen, et al.. (2018). Optogenetic control of epithelial-mesenchymal transition in cancer cells. Scientific Reports. 8(1). 14098–14098. 14 indexed citations
17.
Zheng, Cheng, Wenjie Liu, Zhimin Zhang, et al.. (2018). Three-dimensional super-resolved live cell imaging through polarized multi-angle TIRF. Optics Letters. 43(7). 1423–1423. 25 indexed citations
18.
Huang, Yujia, Dazhao Zhu, Luhong Jin, et al.. (2017). Laser scanning saturated structured illumination microscopy based on phase modulation. Optics Communications. 396. 261–266. 1 indexed citations
19.
Jin, Luhong, Peng Xiu, Xiaoxu Zhou, et al.. (2017). 3D reconstruction of cortical microtubules using multi-angle total internal reflection fluorescence microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10245. 1024506–1024506. 1 indexed citations
20.
Jin, Luhong, Jian Wu, Peng Xiu, et al.. (2016). High-resolution 3D reconstruction of microtubule structures by quantitative multi-angle total internal reflection fluorescence microscopy. Optics Communications. 395. 16–23. 20 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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