Gang Yin

757 total citations
51 papers, 525 citations indexed

About

Gang Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Gang Yin has authored 51 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Gang Yin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Advanced Radiotherapy Techniques (7 papers). Gang Yin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Advanced Radiotherapy Techniques (7 papers). Gang Yin collaborates with scholars based in China, United States and Italy. Gang Yin's co-authors include Erwin Appel, Dezhong Yao, Pei Wang, Wolfgang Rösler, Hai Lin, Shouyun Hu, Fali Li, Yanni Liu, Kate D. Fitzgerald and Joseph A. Himle and has published in prestigious journals such as Brain Research, International Journal of Radiation Oncology*Biology*Physics and Atmospheric Environment.

In The Last Decade

Gang Yin

48 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Yin China 14 142 94 87 61 57 51 525
Vittorio Cannatà Italy 12 118 0.8× 176 1.9× 31 0.4× 26 0.4× 23 0.4× 44 503
Péter Bogner Hungary 15 166 1.2× 332 3.5× 44 0.5× 24 0.4× 13 0.2× 63 799
K. S. Nijran United Kingdom 17 105 0.7× 179 1.9× 61 0.7× 12 0.2× 30 0.5× 38 706
Ilwoo Lyu United States 16 220 1.5× 353 3.8× 25 0.3× 16 0.3× 8 0.1× 54 596
Toru Yanagisawa Japan 15 148 1.0× 110 1.2× 110 1.3× 11 0.2× 222 3.9× 54 808
Amanda Ng Australia 12 127 0.9× 210 2.2× 103 1.2× 25 0.4× 13 0.2× 22 664
Jianlin Wu China 18 195 1.4× 445 4.7× 75 0.9× 46 0.8× 5 0.1× 60 1.0k
Manish Goyal India 14 45 0.3× 51 0.5× 28 0.3× 36 0.6× 5 0.1× 82 614
Huan Tan United States 16 64 0.5× 392 4.2× 37 0.4× 22 0.4× 14 0.2× 29 680
Haiyan Ding China 17 156 1.1× 273 2.9× 72 0.8× 13 0.2× 1 0.0× 89 889

Countries citing papers authored by Gang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yin. A scholar is included among the top collaborators of Gang Yin 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 Gang Yin. Gang Yin 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.
Ding, Qihang, Yifan Zhang, Xiaotang Fan, et al.. (2025). Engineering small-molecule phototheranostics for infectious disease imaging and therapy in NIR-II. TrAC Trends in Analytical Chemistry. 192. 118394–118394. 1 indexed citations
2.
Jiang, Can, Renwei Feng, Yongqian Zhao, et al.. (2025). ITM2A as a potential prognostic marker for triple-negative breast cancer. Journal of Cancer. 16(9). 2903–2916. 1 indexed citations
3.
Ding, Qihang, Yibin Zhang, Gang Yin, et al.. (2025). Poly(lactic-co-glycolic acid) nanomedicine for inflammatory bowel disease: targeted delivery and integrated diagnostics toward precision treatment. Science China Chemistry. 68(11). 5451–5482. 3 indexed citations
4.
Li, Lintao, Libin Huang, Yating Zhang, et al.. (2024). Radial SERS acquisition on coffee ring for Serum-based breast cancer diagnosis through Multilayer Perceptron. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 330. 125692–125692. 2 indexed citations
5.
Yin, Gang, et al.. (2024). Variability of BMP-2 content in DBM products derived from different long bone. Cell and Tissue Banking. 25(2). 697–703. 1 indexed citations
6.
Li, Lintao, Junjie Li, Shun Lu, et al.. (2023). Convenient determination of serum HER‐2 status in breast cancer patients using Raman spectroscopy. Journal of Biophotonics. 17(4). e202300287–e202300287. 2 indexed citations
7.
Lenkowicz, Jacopo, Qian Peng, Luca Boldrini, et al.. (2022). Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. BMC Medical Imaging. 22(1). 44–44. 7 indexed citations
8.
Wang, Zehua, Yan Hong, Huan Yan, et al.. (2022). Fabrication of optoplasmonic particles through electroless deposition and the application in SERS-based screening of nodule-involved lung cancer. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 279. 121483–121483. 10 indexed citations
9.
Jiang, Lin, Baodan Chen, Fali Li, et al.. (2021). Rehabilitation of motor function in children with cerebral palsy based on motor imagery. Cognitive Neurodynamics. 15(6). 939–948. 23 indexed citations
10.
11.
Yin, Gang, Youping Chen, Maosong Ye, et al.. (2020). Corticosteroid, oseltamivir and delayed admission are independent risk factors for prolonged viral shedding in patients with Coronavirus Disease 2019. The Clinical Respiratory Journal. 14(11). 1067–1075. 13 indexed citations
12.
Li, Churong, et al.. (2020). <p>Comparative Study of Auto Plan and Manual Plan for Nasopharyngeal Carcinoma Intensity-Modulated Radiation Therapy</p>. Cancer Management and Research. Volume 12. 12439–12445. 1 indexed citations
13.
Appel, Erwin, et al.. (2016). The spatio-temporal variation of magnetic properties of tree leaves in Linfen, China and its indication to the atmospheric pollution of heavy metals. 59(5). 1742. 6 indexed citations
14.
Yang, Ying, et al.. (2015). Partial least squares-based gene expression analysis in preeclampsia. Genetics and Molecular Research. 14(2). 6598–6604. 5 indexed citations
15.
Appel, Erwin, et al.. (2015). Magnetic response to air pollution recorded by soil and dust-loaded leaves in a changing industrial environment. Atmospheric Environment. 119. 304–313. 57 indexed citations
16.
Yin, Gang, et al.. (2013). Magnetic properties of tree leaves and their significance in atmospheric particle pollution in Linfen City, China. Chinese Geographical Science. 23(1). 59–72. 18 indexed citations
17.
Zhou, Song, Weijun Wang, Zezhang Zhu, et al.. (2012). Increased expression of receptor activator of nuclear factor-κB ligand in osteoblasts from adolescent idiopathic scoliosis patients with low bone mineral density. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(5). 686–690. 5 indexed citations
18.
Lin, Mu‐Han, et al.. (2012). TU-E-BRB-06: Best in Physics (Therapy) - Development and Experimental Validation of EPID-Based 4D Dose Reconstruction. Medical Physics. 39(6Part24). 3909–3909. 1 indexed citations
19.
Yin, Gang & Tiejun Liu. (2010). Neural mechanism of response inhibition in a Go/NoGo tasks. 498–503. 2 indexed citations
20.
Yin, Gang & Jun Zhang. (2010). On Decomposing Stimulus and Response Waveforms in Event-Related Potentials Recordings. IEEE Transactions on Biomedical Engineering. 58(6). 1534–1545. 2 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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