Fang Jin

3.0k total citations · 2 hit papers
152 papers, 1.8k citations indexed

About

Fang Jin is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Fang Jin has authored 152 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Artificial Intelligence and 18 papers in Epidemiology. Recurrent topics in Fang Jin's work include Extracellular vesicles in disease (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Fang Jin is often cited by papers focused on Extracellular vesicles in disease (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Fang Jin collaborates with scholars based in China, United States and Taiwan. Fang Jin's co-authors include Naren Ramakrishnan, Edward J. Dougherty, Yang Cao, Parang Saraf, Yu‐Ming Chu, Mati ur Rahman, Guofeng Cao, Pál L. Vághy, Souparno Ghosh and Ali Nejat and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Fang Jin

138 papers receiving 1.7k citations

Hit Papers

ON NONLINEAR EVOLUTION MODEL FOR DRINKING BEHAVIOR UNDER ... 2022 2026 2023 2024 2022 2025 40 80 120
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.

  1. ON NONLINEAR EVOLUTION MODEL FOR DRINKING BEHAVIOR UNDER CAPUTO-FABRIZIO DERIVATIVE
    2022 123 citations Fang Jin et al. profile →
  2. Recent Advances in Strategies to Enhance Photodynamic and Photothermal Therapy Performance of Single‐Component Organic Phototherapeutic Agents
    2025 27 citations Lifeng Hang, Fang Jin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Jin China 20 351 309 303 201 194 152 1.8k
Zubair Shah Qatar 24 519 1.5× 593 1.9× 197 0.7× 39 0.2× 364 1.9× 108 2.9k
David Banks United States 23 235 0.7× 406 1.3× 145 0.5× 197 1.0× 128 0.7× 81 2.0k
Chi Yuan China 14 293 0.8× 593 1.9× 200 0.7× 65 0.3× 40 0.2× 40 1.6k
Jiyoung Woo South Korea 23 211 0.6× 460 1.5× 114 0.4× 117 0.6× 29 0.1× 93 1.7k
Na Shi China 23 332 0.9× 200 0.6× 290 1.0× 23 0.1× 177 0.9× 107 2.2k
Jiajun Liu China 28 87 0.2× 228 0.7× 352 1.2× 98 0.5× 120 0.6× 213 3.0k
Nicholas Blumm United States 8 207 0.6× 263 0.9× 333 1.1× 372 1.9× 437 2.3× 10 3.0k
Ye Ye China 24 323 0.9× 226 0.7× 283 0.9× 194 1.0× 168 0.9× 162 2.1k
Xiaoliang Chen China 30 123 0.4× 459 1.5× 1.4k 4.6× 157 0.8× 69 0.4× 208 3.0k
Steven B. Johnson United States 22 184 0.5× 124 0.4× 231 0.8× 42 0.2× 517 2.7× 58 2.7k

Countries citing papers authored by Fang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Fang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Jin. A scholar is included among the top collaborators of Fang 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 Fang Jin. Fang 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.
Chen, Mingliang, et al.. (2025). Building Traceable Redactable Blockchain with Time-Verifiable Chameleon Hash. Electronics. 14(5). 846–846.
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Li, Meng, Bo Ma, Jinyu Liu, et al.. (2024). A Senescence-Associated Secretory Phenotype of Bone Marrow Mesenchymal Stem Cells Inhibits the Viability of Breast Cancer Cells. Stem Cell Reviews and Reports. 20(4). 1093–1105. 3 indexed citations
6.
Jin, Fang, Lu Zhang, Hui Shen, et al.. (2023). Efficacy and safety of adjuvant chemotherapy for locally advanced cervical cancer: A systematic review and meta-analysis. Critical Reviews in Oncology/Hematology. 184. 103953–103953. 6 indexed citations
7.
Zeng, Yu‐Ping, et al.. (2023). Simultaneously acquired rSUV and rCBF of 18F-FDG/MRI in peritumoral brain zone can help to differentiate the grade of gliomas. SHILAP Revista de lepidopterología. 1(2). 100020–100020.
8.
Jin, Fang, et al.. (2023). Gas-Driven Endoscopic Robot for Visual Inspection of Corrosion Defects Inside Gas Pipelines. Processes. 11(4). 1098–1098. 5 indexed citations
9.
Wang, Ningfei, Chaowei Xiao, Dawei Yang, et al.. (2022). Demo: Security of Multi-Sensor Fusion based Perception in AD under Physical-World Attacks. 1 indexed citations
10.
Wu, Yang‐Chang, Fang Jin, He Huang, & Shi Wang. (2022). Suppression of KLF7 gene expression inhibits proliferation and induces apoptosis of hemangioma cells via NF-κB signaling pathway. Tropical Journal of Pharmaceutical Research. 20(7). 1351–1356. 1 indexed citations
11.
Cao, Yulong, Ningfei Wang, Chaowei Xiao, et al.. (2021). Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. arXiv (Cornell University). 176–194. 130 indexed citations
12.
Li, Jia, Tuan T. Nguyen, Xiaobei Wang, Roger Mathisen, & Fang Jin. (2020). Breastfeeding practices and associated factors at the individual, family, health facility and environmental levels in China. Maternal and Child Nutrition. 16(S2). e13002–e13002. 28 indexed citations
13.
Zhang, Yu, et al.. (2019). Multiple Analyses of Tumor Invasion Based on an Integrated Microfluidic System with Bi-directional Solute Concentration Gradient?. Gaodeng xuexiao huaxue xuebao. 40(12). 2494–2501. 1 indexed citations
14.
Jin, Fang. (2014). The development of MOOC and its challenge to traditional education. 2 indexed citations
15.
Yu, Hongliang, Пэйдэ Лю, & Fang Jin. (2014). Research on the Stochastic Hybrid Multi-attribute Decision Making Method Based on Prospect Theory. Scientia Iranica. 21(3). 1105–1119. 14 indexed citations
16.
Jin, Fang. (2013). Nursing Experience of High Internal Arteriovenous Fistula for Patients with Chronic Hemodialysis.
17.
Jin, Fang. (2010). Preparation and in Vivo Biotransformation of Curcumin Micelles. Zhōnghuá yàoxué zázhì. 2 indexed citations
18.
Liu, Daniel, et al.. (2009). A Pilot Observational Study to Assess the Safety and Efficacy of Menoprogen for the Management of Menopausal Symptoms in Chinese Women. The Journal of Alternative and Complementary Medicine. 15(1). 79–85. 7 indexed citations
19.
Jin, Fang. (2006). Research About Visualization of Hybrid Multi-resolution Terrain and Vector Data. Jisuanji fangzhen. 2 indexed citations
20.
Jin, Fang. (2003). Soft-Decision Viterbi and Sequential Decoding on FPGA. Bulletin of Science and Technology. 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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