Jianhua Yan

3.5k total citations · 1 hit paper
62 papers, 2.7k citations indexed

About

Jianhua Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jianhua Yan has authored 62 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jianhua Yan's work include Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Advanced MRI Techniques and Applications (11 papers). Jianhua Yan is often cited by papers focused on Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Advanced MRI Techniques and Applications (11 papers). Jianhua Yan collaborates with scholars based in China, United States and Singapore. Jianhua Yan's co-authors include Keqi Zhang, Shu‐Ching Chen, Chengcui Zhang, Dean Whitman, David W. Townsend, Ivan Weng Keong Tham, Joshua Schaefferkoetter, Maurizio Conti, Long Zhou and Gang Huang and has published in prestigious journals such as Nature Genetics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jianhua Yan

60 papers receiving 2.6k citations

Hit Papers

A progressive morphological filter for removing nonground... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianhua Yan China 22 1.0k 946 583 404 294 62 2.7k
Jian Wu China 33 789 0.8× 523 0.6× 48 0.1× 149 0.4× 277 0.9× 159 5.1k
Rongqian Yang China 23 577 0.6× 83 0.1× 59 0.1× 160 0.4× 227 0.8× 87 4.3k
Peter Caccetta Australia 21 680 0.7× 236 0.2× 56 0.1× 598 1.5× 89 0.3× 67 2.3k
Qingjie Liu China 29 714 0.7× 374 0.4× 50 0.1× 396 1.0× 386 1.3× 136 5.1k
Zhengxin Zhang China 10 640 0.6× 348 0.4× 47 0.1× 199 0.5× 187 0.6× 40 2.6k
Adriana Romero Canada 13 187 0.2× 703 0.7× 31 0.1× 179 0.4× 277 0.9× 22 2.8k
Hui Sheng China 19 111 0.1× 137 0.1× 19 0.0× 234 0.6× 63 0.2× 123 1.3k
Bernhard Geiger Germany 21 590 0.6× 294 0.3× 14 0.0× 734 1.8× 233 0.8× 72 2.2k
Martin Huber Germany 20 495 0.5× 102 0.1× 80 0.1× 168 0.4× 126 0.4× 79 2.3k

Countries citing papers authored by Jianhua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhua Yan. A scholar is included among the top collaborators of Jianhua Yan 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 Jianhua Yan. Jianhua Yan 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, Ping, et al.. (2025). A review of state-of-the-art resolution improvement techniques in SPECT imaging. EJNMMI Physics. 12(1). 9–9. 5 indexed citations
2.
Wen, Junhai, et al.. (2022). Super-resolution reconstruction for parallel-beam SPECT based on deep learning and transfer learning: a preliminary simulation study. Annals of Translational Medicine. 10(7). 396–396. 4 indexed citations
3.
Zhou, Jianyuan, Sijuan Zou, Siyuan Cheng, et al.. (2021). Correlation Between Dual-Time-Point FDG PET and Tumor Microenvironment Immune Types in Non-Small Cell Lung Cancer. Frontiers in Oncology. 11. 559623–559623. 13 indexed citations
5.
Zhou, Jianyuan, Sijuan Zou, Dong Kuang, et al.. (2021). A Novel Approach Using FDG-PET/CT-Based Radiomics to Assess Tumor Immune Phenotypes in Patients With Non-Small Cell Lung Cancer. Frontiers in Oncology. 11. 769272–769272. 32 indexed citations
6.
Yan, Jianhua, Nimrod Miller, Sudarshan Dayanidhi, et al.. (2021). Early death of ALS-linked CHCHD10-R15L transgenic mice with central nervous system, skeletal muscle, and cardiac pathology. iScience. 24(2). 102061–102061. 10 indexed citations
8.
Zeng, Daojian, et al.. (2020). Efficient Strip-Mode SAR Raw-Data Simulator of Extended Scenes Included Moving Targets Based on Reversion of Series. Computers, materials & continua/Computers, materials & continua (Print). 64(1). 313–323. 1 indexed citations
9.
Zhao, An, et al.. (2019). Evaluation of CT-based radiomics in patients with renal cell carcinoma. Annals of Oncology. 30. v779–v779. 2 indexed citations
10.
Yan, Jianhua, et al.. (2017). Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels. Physics in Medicine and Biology. 62(13). 5344–5364. 16 indexed citations
11.
Yan, Jianhua, Zhifang Wu, & Sijin Li. (2017). Extremely low dose 18 F-FDG PET imaging and its potential use for lung cancer screening. Translational Cancer Research. 6(1). 1 indexed citations
12.
Sun, Li, Jianhua Yan, Li Sun, S. Sendhil Velan, & Melvin Khee‐Shing Leow. (2017). A synopsis of brown adipose tissue imaging modalities for clinical research. Diabetes & Metabolism. 43(5). 401–410. 19 indexed citations
13.
Roy, Sharmili, Jianhua Yan, John J. Totman, et al.. (2016). Serial FDG-PET/MR Imaging for Head and Neck Cancer Radiation Therapy: A Pilot Study. IEEE Transactions on Radiation and Plasma Medical Sciences. 1(2). 158–163. 1 indexed citations
14.
Schaefferkoetter, Joshua, Jianhua Yan, David W. Townsend, et al.. (2016). Quantitative Accuracy and Lesion Detectability of Low-Dose18F-FDG PET for Lung Cancer Screening. Journal of Nuclear Medicine. 58(3). 399–405. 35 indexed citations
15.
Wang, Mengdie, Ning Guo, Joshua Schaefferkoetter, et al.. (2015). Automatic respiratory gating of TOF-PET data using time-of-flight information. 56. 427–427. 2 indexed citations
16.
Zhao, Xiaoyi, Zhichao Sun, Yanping Ruan, et al.. (2014). Personal Black Carbon Exposure Influences Ambulatory Blood Pressure. Hypertension. 63(4). 871–877. 74 indexed citations
17.
Yao, Rutao, et al.. (2012). Assessment of a three-dimensional line-of-response probability density function system matrix for PET. Physics in Medicine and Biology. 57(21). 6827–6848. 16 indexed citations
18.
Yan, Jianhua, et al.. (2009). Initial evaluation of direct 4D parametric reconstruction with human PET data. PubMed. 2009(Oct. 24 2009-Nov. 1 2009). 2503–2506. 11 indexed citations
19.
Planeta‐Wilson, Beata, Jianhua Yan, Tim Mulnix, & Richard E. Carson. (2008). Quantitative accuracy of HRRT lIST-MODE reconstructions: Effect of low statistics. PubMed. 49. 5121–5124. 14 indexed citations
20.
Yan, Jianhua & Jun Yu. (2007). Median-prior tomography reconstruction combined with nonlinear anisotropic diffusion filtering. Journal of the Optical Society of America A. 24(4). 1026–1026. 9 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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