Bing Ji

2.5k total citations
117 papers, 1.8k citations indexed

About

Bing Ji is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Bing Ji has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Oncology. Recurrent topics in Bing Ji's work include Bone health and treatments (7 papers), Biomimetic flight and propulsion mechanisms (7 papers) and Functional Brain Connectivity Studies (6 papers). Bing Ji is often cited by papers focused on Bone health and treatments (7 papers), Biomimetic flight and propulsion mechanisms (7 papers) and Functional Brain Connectivity Studies (6 papers). Bing Ji collaborates with scholars based in China, United Kingdom and United States. Bing Ji's co-authors include Yibin Li, Xin Ma, Haibo Wang, Menghua Zhang, Yueming Sun, Yongfeng Zhang, Chuan Zhang, Xingong Cheng, Jinkui Feng and Shenglin Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Bing Ji

104 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Ji China 23 444 251 226 201 131 117 1.8k
Yusuke Tamura Japan 23 300 0.7× 505 2.0× 330 1.5× 70 0.3× 162 1.2× 166 2.1k
Kazuyuki Kobayashi Japan 28 597 1.3× 200 0.8× 386 1.7× 244 1.2× 331 2.5× 289 3.0k
Zilong Liu China 24 566 1.3× 335 1.3× 245 1.1× 98 0.5× 195 1.5× 196 2.4k
Yuanyuan Li China 31 842 1.9× 437 1.7× 178 0.8× 229 1.1× 151 1.2× 221 3.4k
Pingping Liu China 26 650 1.5× 160 0.6× 73 0.3× 145 0.7× 157 1.2× 224 2.4k
Yongchao Li China 28 469 1.1× 127 0.5× 238 1.1× 95 0.5× 123 0.9× 190 3.0k
Sen Li China 22 176 0.4× 335 1.3× 251 1.1× 84 0.4× 115 0.9× 126 1.5k
Tingting Jiang China 30 573 1.3× 954 3.8× 174 0.8× 138 0.7× 131 1.0× 174 2.8k
Meng Li China 20 216 0.5× 210 0.8× 182 0.8× 74 0.4× 55 0.4× 176 1.6k
Ryo Watanabe Japan 25 511 1.2× 85 0.3× 144 0.6× 113 0.6× 310 2.4× 191 2.6k

Countries citing papers authored by Bing Ji

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Ji. A scholar is included among the top collaborators of Bing Ji 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 Bing Ji. Bing Ji 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
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Li, Yan, Guoqiang Zhang, Xiaohui Chen, et al.. (2024). A national survey on current state and development needs of clinical and academic emergency medicine in China. BMC Medical Education. 24(1). 229–229. 2 indexed citations
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Ji, Bing, et al.. (2024). Predicting the prognosis of patients with mild COVID-19 by chest CT based on machine learning. 7(2). 157–163. 1 indexed citations
7.
Zhang, Shuo, Bing Ji, Jing Li, et al.. (2023). FBXL5 promotes lipid accumulation in alcoholic fatty liver disease by promoting the ubiquitination and degradation of TFEB. Cellular Signalling. 112. 110905–110905. 3 indexed citations
8.
Chen, Yang, Bo Su, Wei Zeng, Chengzhi Yuan, & Bing Ji. (2023). Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers. Multimedia Tools and Applications. 82(17). 26859–26883. 12 indexed citations
9.
Ji, Bing, Xinyu Ji, Si Meng, et al.. (2023). Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy. Applied Intelligence. 53(20). 24587–24602. 1 indexed citations
10.
Li, Jiali, Rugang Liu, Tianrui Chen, et al.. (2022). A dynamic learning-based ECG feature extraction method for myocardial infarction detection. Physiological Measurement. 43(12). 124005–124005. 10 indexed citations
11.
Luo, Jia‐Qi, Xiaomeng Zhang, Han Zhang, et al.. (2022). Prediction of anemia using facial images and deep learning technology in the emergency department. Frontiers in Public Health. 10. 964385–964385. 21 indexed citations
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Ji, Bing, et al.. (2020). The Cardiodynamicsgram Based Early Detection of Myocardial Ischemia Using the Lempel-Ziv Complexity. IEEE Access. 8. 207894–207904. 11 indexed citations
13.
Krishnamurthy, Venkatagiri, et al.. (2020). A method to mitigate spatio‐temporally varying task‐correlated motion artifacts from overt‐speech fMRI paradigms in aphasia. Human Brain Mapping. 42(4). 1116–1129. 7 indexed citations
14.
Ji, Bing, et al.. (2020). Mathematical modelling of the role of Endo180 network in the development of metastatic bone disease in prostate cancer. Computers in Biology and Medicine. 117. 103619–103619. 9 indexed citations
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Wang, Sen, Zhiyuan Zhang, Wenwei Qian, et al.. (2018). Angiogenesis and vasculogenic mimicry are inhibited by 8-Br-cAMP through activation of the cAMP/PKA pathway in colorectal cancer. OncoTargets and Therapy. Volume 11. 3765–3774. 25 indexed citations
17.
An, Yongling, et al.. (2017). Ultrafine TiO2 Confined in Porous-Nitrogen-Doped Carbon from Metal–Organic Frameworks for High-Performance Lithium Sulfur Batteries. ACS Applied Materials & Interfaces. 9(14). 12400–12407. 99 indexed citations
18.
Mayers, Jared R., Margaret E. Torrence, Laura V. Danai, et al.. (2016). Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers. PMC. 34 indexed citations
19.
Zhang, Jiuquan, Bing Ji, Chaoyang Zhou, et al.. (2016). Differential Impairment of Thalamocortical Structural Connectivity in Amyotrophic Lateral Sclerosis. CNS Neuroscience & Therapeutics. 23(2). 155–161. 12 indexed citations
20.
Liao, Caizhi, Zhengzhi Feng, Dan Zhou, et al.. (2011). Dysfunction of fronto-limbic brain circuitry in depression. Neuroscience. 201. 231–238. 42 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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