Songbai Ji

3.8k total citations
115 papers, 2.8k citations indexed

About

Songbai Ji is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Songbai Ji has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pulmonary and Respiratory Medicine, 53 papers in Biomedical Engineering and 39 papers in Epidemiology. Recurrent topics in Songbai Ji's work include Automotive and Human Injury Biomechanics (54 papers), Traumatic Brain Injury Research (36 papers) and Medical Imaging and Analysis (29 papers). Songbai Ji is often cited by papers focused on Automotive and Human Injury Biomechanics (54 papers), Traumatic Brain Injury Research (36 papers) and Medical Imaging and Analysis (29 papers). Songbai Ji collaborates with scholars based in United States, United Kingdom and Canada. Songbai Ji's co-authors include Wei Zhao, Keith D. Paulsen, David W. Roberts, Xiaoyao Fan, Thomas W. McAllister, Alex Hartov, Laura A. Flashman, James Ford, Jonathan G. Beckwith and Richard M. Greenwald and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Songbai Ji

109 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songbai Ji United States 30 1.6k 1.3k 1.0k 583 576 115 2.8k
Nikolay L. Martirosyan United States 26 372 0.2× 344 0.3× 568 0.6× 543 0.9× 343 0.6× 97 2.4k
Sanjay P. Prabhu United States 31 248 0.2× 331 0.3× 315 0.3× 394 0.7× 698 1.2× 150 3.1k
Joachim Oertel Germany 35 407 0.3× 1.0k 0.8× 258 0.3× 1.4k 2.3× 306 0.5× 278 4.5k
Tobias Struffert Germany 35 1.1k 0.7× 1.1k 0.9× 635 0.6× 1.7k 2.9× 670 1.2× 159 3.4k
Yon‐Cheong Wong Taiwan 35 1.0k 0.6× 252 0.2× 398 0.4× 271 0.5× 314 0.5× 194 4.1k
Jan S. Kirschke Germany 35 293 0.2× 415 0.3× 1.4k 1.4× 336 0.6× 2.0k 3.4× 285 4.9k
John N. Oshinski United States 31 744 0.5× 364 0.3× 447 0.4× 255 0.4× 1.1k 1.9× 166 3.4k
Shabbar F. Danish United States 29 563 0.3× 380 0.3× 470 0.5× 1.1k 1.8× 427 0.7× 117 2.6k
Tseng Tsai Yeo Singapore 24 409 0.3× 425 0.3× 186 0.2× 893 1.5× 236 0.4× 136 2.1k
Allan J. Hamilton United States 22 337 0.2× 244 0.2× 256 0.3× 342 0.6× 204 0.4× 75 1.9k

Countries citing papers authored by Songbai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Songbai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songbai Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Songbai Ji. A scholar is included among the top collaborators of Songbai 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 Songbai Ji. Songbai 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
1.
Ji, Songbai, et al.. (2025). Optimizing foam padding of the advanced combat helmet to maximize protection of blast-induced brain injury and wearing comfort. Advances in Engineering Software. 208. 103980–103980.
2.
Zhao, Wei & Songbai Ji. (2025). A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation. Journal of Biomechanical Engineering. 148(2).
3.
Tierney, Gregory, et al.. (2024). Effect of Impact Kinematic Filters on Brain Strain Responses in Contact Sports. IEEE Transactions on Biomedical Engineering. 71(9). 2781–2788. 3 indexed citations
4.
Kenny, Rebecca, Yuan Gao, Songbai Ji, et al.. (2024). On-field Head Acceleration Exposure Measurements Using Instrumented Mouthguards: Multi-stage Screening to Optimize Data Quality. Annals of Biomedical Engineering. 52(10). 2666–2677. 1 indexed citations
5.
6.
Ji, Songbai, et al.. (2023). A Morphologically Individualized Deep Learning Brain Injury Model. Journal of Neurotrauma. 40(19-20). 2233–2247. 5 indexed citations
7.
Ji, Songbai, et al.. (2022). Dynamic characteristics of impact-induced brain strain in the corpus callosum. SHILAP Revista de lepidopterología. 3. 100046–100046. 15 indexed citations
8.
Zhao, Wei, et al.. (2022). Instantaneous Brain Strain Estimation for Automotive Head Impacts via Deep Learning. SAE technical papers on CD-ROM/SAE technical paper series. 1. 139–162. 7 indexed citations
9.
10.
Begonia, Mark T., et al.. (2022). American Football Helmet Effectiveness Against a Strain-Based Concussion Mechanism. Annals of Biomedical Engineering. 50(11). 1498–1509. 11 indexed citations
11.
Ji, Songbai & Wei Zhao. (2021). Displacement voxelization to resolve mesh-image mismatch: Application in deriving dense white matter fiber strains. Computer Methods and Programs in Biomedicine. 213. 106528–106528. 11 indexed citations
12.
Cai, Yunliang, Xiaoyao Fan, Linton T. Evans, et al.. (2021). A level-wise spine registration framework to account for large pose changes. International Journal of Computer Assisted Radiology and Surgery. 16(6). 943–953. 5 indexed citations
13.
Cai, Yunliang, et al.. (2018). Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS ONE. 13(5). e0197992–e0197992. 27 indexed citations
14.
Feng, Yuan, et al.. (2017). A computational study of invariant I5 in a nearly incompressible transversely isotropic model for white matter. Journal of Biomechanics. 57. 146–151. 13 indexed citations
15.
Zhao, Wei & Songbai Ji. (2015). Real-time, whole-brain, temporally resolved pressure responses in translational head impact. Interface Focus. 6(1). 20150091–20150091. 11 indexed citations
16.
Ji, Songbai, et al.. (2015). Intraoperative CT as a registration benchmark for intervertebral motion compensation in image-guided open spinal surgery. International Journal of Computer Assisted Radiology and Surgery. 10(12). 2009–2020. 7 indexed citations
17.
Ji, Songbai, Xiaoyao Fan, David W. Roberts, Alex Hartov, & Keith D. Paulsen. (2014). Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration. Medical Image Analysis. 18(7). 1169–1183. 35 indexed citations
18.
Ji, Songbai, David W. Roberts, Alex Hartov, & Keith D. Paulsen. (2009). Brain–skull contact boundary conditions in an inverse computational deformation model. Medical Image Analysis. 13(4). 659–672. 22 indexed citations
19.
Ji, Songbai, Fenghong Liu, David W. Roberts, Alex Hartov, & Keith D. Paulsen. (2007). Brain-skull boundary conditions in a computational deformation model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6509. 65092J–65092J. 5 indexed citations
20.
Coats, Brittany, Susan S. Margulies, & Songbai Ji. (2007). Parametric Study of Head Impact in the Infant. SAE technical papers on CD-ROM/SAE technical paper series. 51. 1–15. 69 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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Breakdown of academic impact, for papers by Nikolay L. Martirosyan Breakdown of academic impact, for papers by Sanjay P. Prabhu Breakdown of academic impact, for papers by Joachim Oertel Breakdown of academic impact, for papers by Tobias Struffert Breakdown of academic impact, for papers by Yon‐Cheong Wong Breakdown of academic impact, for papers by Jan S. Kirschke Breakdown of academic impact, for papers by John N. Oshinski Breakdown of academic impact, for papers by Shabbar F. Danish Breakdown of academic impact, for papers by Tseng Tsai Yeo Breakdown of academic impact, for papers by Allan J. Hamilton
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