Binbin Lin

1.0k total citations
36 papers, 710 citations indexed

About

Binbin Lin is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Binbin Lin has authored 36 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Cognitive Neuroscience and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Binbin Lin's work include Advanced Memory and Neural Computing (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Functional Brain Connectivity Studies (5 papers). Binbin Lin is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Functional Brain Connectivity Studies (5 papers). Binbin Lin collaborates with scholars based in United States, Germany and China. Binbin Lin's co-authors include Jieping Ye, Shimeng Yu, Sarma Vrudhula, Pai-Yu Chen, Jae-sun Seo, Yu Cao, Bai‐Xiang Xu, I‐Ting Wang, Tuo‐Hung Hou and Abinash Mohanty and has published in prestigious journals such as ACS Nano, Journal of Applied Physics and Applied Catalysis B: Environmental.

In The Last Decade

Binbin Lin

34 papers receiving 693 citations

Peers

Binbin Lin

EEE

CMN

Takafumi Suzuki Japan

In-Ho Kang South Korea

Chao Han China

Zhang Guo China

Yating Li China

Hung‐Yu Chen Taiwan

Jiaqi He China

Minkyu Lee South Korea

Yun-Jung Lee South Korea

Takafumi Suzuki Japan

Binbin Lin

161 ×0.4

EEE

229 ×1.6

CMN

62 ×0.5

172 ×2.1

45 ×0.7

Citations per year, relative to Binbin Lin Binbin Lin (= 1×) peers Takafumi Suzuki

Countries citing papers authored by Binbin Lin

Since Specialization

Citations

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

Fields of papers citing papers by Binbin Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binbin Lin

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

All Works

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20 of 20 papers shown

Lin, Binbin, et al.. (2025). Identification of Cystatin 3 as a Potential Diagnostic Biomarker for Osteoporosis Using Machine Learning. Journal of Inflammation Research. Volume 18. 16805–16823.

Yang, Yifan, et al.. (2025). Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models. Computers Environment and Urban Systems. 121. 102335–102335.

Qin, Minkai, Binbin Lin, Jiadong Chen, et al.. (2024). Regulating the redox cycle of nickel species for efficient seawater electrolysis. Applied Catalysis B: Environmental. 356. 124259–124259. 20 indexed citations

Peng, Xiang‐Long, et al.. (2024). What can machine learning help with microstructure-informed materials modeling and design?. MRS Bulletin. 50(1). 61–79. 10 indexed citations

Abedin, Joynal, Lei Zou, Robert V. Rohli, et al.. (2024). Deciphering spatial-temporal dynamics of flood exposure in the United States,. Sustainable Cities and Society. 108. 105444–105444. 6 indexed citations

Chen, Minghao, Kaipeng Zhang, Mingming Li, et al.. (2024). TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3513–3521. 5 indexed citations

Zou, Lei, et al.. (2023). Algorithmic uncertainties in geolocating social media data for disaster management. Cartography and Geographic Information Science. 51(4). 565–582. 2 indexed citations

Zou, Lei, et al.. (2023). The impact of social isolation on sleep disturbances – evidence from geospatial big data during COVID-19. Abstracts of the ICA. 6. 1–2. 1 indexed citations

Chen, Xing, et al.. (2023). Effect of moisture on the delamination properties of fractured PVB-laminated glass: A joint experimental and numerical study. Composite Structures. 322. 117381–117381. 8 indexed citations

10.

Lin, Binbin, et al.. (2023). A Machine Learning Enabled Image‐data‐driven End‐to‐end Mechanical Field Predictor For Dual‐Phase Steel. PAMM. 22(1). 5 indexed citations

11.

Santos, David A., Shahed Rezaei, Delin Zhang, et al.. (2022). Chemistry–mechanics–geometry coupling in positive electrode materials: a scale-bridging perspective for mitigating degradation in lithium-ion batteries through materials design. Chemical Science. 14(3). 458–484. 26 indexed citations

12.

Lin, Binbin, et al.. (2022). A deep learned nanowire segmentation model using synthetic data augmentation. npj Computational Materials. 8(1). 26 indexed citations

13.

Santos, David A., Justin L. Andrews, Binbin Lin, et al.. (2022). Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials. Patterns. 3(12). 100634–100634. 6 indexed citations

14.

Lin, Binbin, et al.. (2021). Humidity influence on mechanics of paper materials: joint numerical and experimental study on fiber and fiber network scale. Cellulose. 29(2). 1129–1148. 11 indexed citations

15.

Lin, Binbin, et al.. (2021). Chemo-mechanical study of dislocation mediated ion diffusion in lithium-ion battery materials. Journal of Applied Physics. 130(3). 6 indexed citations

16.

Makkie, Milad, Xiang Li, Shannon Quinn, et al.. (2018). A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Transactions on Big Data. 5(2). 109–119. 13 indexed citations

17.

Zhao, Yu, Xiang Li, Milad Makkie, et al.. (2017). Template-guided Functional Network Identification via Supervised Dictionary Learning. 72–76. 1 indexed citations

18.

Lv, Jinglei, Binbin Lin, Qingyang Li, et al.. (2017). Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Analysis. 38. 1–16. 39 indexed citations

19.

Zhu, Dajiang, Binbin Lin, Joshua Faskowitz, Jieping Ye, & Paul M. Thompson. (2016). Embedded sparse representation of fMRI data via group-wise dictionary optimization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97841K–97841K. 1 indexed citations

20.

Chen, Pai-Yu, Deepak Kadetotad, Zihan Xu, et al.. (2015). Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip. Design, Automation, and Test in Europe. 854–859. 38 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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