Lin Ji

2.5k total citations
24 papers, 2.0k citations indexed

About

Lin Ji is a scholar working on Cell Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Lin Ji has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Lin Ji's work include Cellular Mechanics and Interactions (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Lin Ji is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Lin Ji collaborates with scholars based in United States, China and Canada. Lin Ji's co-authors include Gaudenz Danuser, Clare M. Waterman, Kathryn T. Applegate, Ke Hu, Paul Forscher, Andrew W. Schaefer, Margaret L. Gardel, Ulrich S. Schwarz, Benedikt Sabass and Cyrus A. Wilson and has published in prestigious journals such as Nature, Science and The Journal of Cell Biology.

In The Last Decade

Lin Ji

23 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Ji United States	13	1.5k	568	424	347	288	24	2.0k
Olivier Rossier France	22	1.3k 0.9×	557 1.0×	1.1k 2.6×	421 1.2×	451 1.6×	39	2.5k
Matthias Macháček Switzerland	14	1.4k 0.9×	362 0.6×	819 1.9×	174 0.5×	361 1.3×	30	2.5k
Alba Diz-Muñoz Germany	22	1.5k 1.0×	682 1.2×	987 2.3×	317 0.9×	193 0.7×	35	2.6k
Benjamin J. Dubin‐Thaler United States	13	1.9k 1.2×	688 1.2×	828 2.0×	429 1.2×	624 2.2×	13	2.8k
Marco Fritzsche United Kingdom	28	1.4k 0.9×	653 1.1×	721 1.7×	518 1.5×	177 0.6×	76	2.7k
Erin L. Barnhart United States	14	1.4k 0.9×	588 1.0×	503 1.2×	231 0.7×	146 0.5×	16	1.9k
Martial Balland France	28	1.7k 1.1×	884 1.6×	820 1.9×	328 0.9×	208 0.7×	58	2.7k
Julien Colombelli Spain	26	1.5k 1.0×	763 1.3×	1.2k 2.8×	181 0.5×	106 0.4×	48	2.9k
Timo Betz Germany	33	1.8k 1.2×	968 1.7×	1.3k 3.0×	566 1.6×	202 0.7×	82	3.6k
Jérôme Solon Spain	15	1.4k 0.9×	706 1.2×	764 1.8×	216 0.6×	128 0.4×	22	2.2k

Countries citing papers authored by Lin Ji

Since Specialization

Citations

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

Fields of papers citing papers by Lin Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ji. A scholar is included among the top collaborators of Lin 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 Lin Ji. Lin Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ji, Lin, et al.. (2025). Transformer Fault Diagnosis Based on Parallel AdaBoost-NB Algorithm on Spark Cloud Platform. International Journal of Grid and High Performance Computing. 17(1). 1–23.

Qiu, Jiajun, Lin Ji, Chunyan Lu, et al.. (2022). Differential diagnosis of hepatocellular carcinoma and hepatic hemangioma based on maximum wavelet-coefficient statistics: Novel radiomics features from plain CT. Information Processing & Management. 59(5). 103046–103046. 2 indexed citations

Qiu, Jiajun, et al.. (2020). A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images. IEEE Transactions on Medical Imaging. 40(1). 12–25. 26 indexed citations

Hui, Bei, Yanbo Liu, Jiajun Qiu, et al.. (2020). Study of texture segmentation and classification for grading small hepatocellular carcinoma based on CT images. Tsinghua Science & Technology. 26(2). 199–207. 18 indexed citations

Qiu, Jiajun, et al.. (2018). A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas. 9–13. 1 indexed citations

Li, Nannan, et al.. (2017). The Rectification of Document Images Using Text-features. 223–228. 1 indexed citations

Ji, Lin, Bei Hui, & Bin Song. (2014). The Research on Computer-Aided Diagnosis Application Basing on Bayesian Classification Schemes. Journal of Computational and Theoretical Nanoscience. 11(12). 2535–2544. 1 indexed citations

Ji, Lin, et al.. (2013). A Lightweight Design of Malware Behavior Representation. 19. 1607–1612. 2 indexed citations

Ji, Lin. (2013). A case study on simplifying the resound/hybrid theory. 1 indexed citations

10.

Ji, Lin, et al.. (2011). An anomaly detection algorithm based on clustering. 1059–1062. 1 indexed citations

11.

Wilson, Cyrus A., Mark A. Tsuchida, Greg M. Allen, et al.. (2010). Myosin II contributes to cell-scale actin network treadmilling through network disassembly. Nature. 465(7296). 373–377. 312 indexed citations

12.

Burnette, Dylan T., et al.. (2008). Myosin II Activity Facilitates Microtubule Bundling in the Neuronal Growth Cone Neck. Developmental Cell. 15(1). 163–169. 102 indexed citations

13.

Gardel, Margaret L., Benedikt Sabass, Lin Ji, et al.. (2008). Traction stress in focal adhesions correlates biphasically with actin retrograde flow speed. The Journal of Cell Biology. 183(6). 999–1005. 357 indexed citations

14.

Ji, Lin, James Lim, & Gaudenz Danuser. (2008). Fluctuations of intracellular forces during cell protrusion. Nature Cell Biology. 10(12). 1393–1400. 151 indexed citations

15.

Schaefer, Andrew W., et al.. (2008). Coordination of Actin Filament and Microtubule Dynamics during Neurite Outgrowth. Developmental Cell. 15(1). 146–162. 173 indexed citations

16.

Burnette, Dylan T., Andrew W. Schaefer, Lin Ji, Gaudenz Danuser, & Paul Forscher. (2007). Filopodial actin bundles are not necessary for microtubule advance into the peripheral domain of Aplysia neuronal growth cones. Nature Cell Biology. 9(12). 1360–1369. 74 indexed citations

17.

Yam, Patricia T., Cyrus A. Wilson, Lin Ji, et al.. (2007). Actin–myosin network reorganization breaks symmetry at the cell rear to spontaneously initiate polarized cell motility. The Journal of Cell Biology. 178(7). 1207–1221. 213 indexed citations

18.

Ji, Lin, Dinah Loerke, Margaret L. Gardel, & Gaudenz Danuser. (2007). Probing Intracellular Force Distributions by High‐Resolution Live Cell Imaging and Inverse Dynamics. Methods in cell biology. 83. 199–235. 5 indexed citations

19.

Ji, Lin & Joyce R. McLaughlin. (2003). Recovery of the Lamé parameter in biological tissues. Inverse Problems. 20(1). 1–24. 35 indexed citations

20.

Ji, Lin, Joyce R. McLaughlin, Daniel Renzi, & Jeong‐Rock Yoon. (2003). Interior elastodynamics inverse problems: shear wave speed reconstruction in transient elastography. Inverse Problems. 19(6). S1–S29. 35 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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