Lin Han

2.9k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Lin Han is a scholar working on Artificial Intelligence, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Lin Han has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in Lin Han's work include Atmospheric aerosols and clouds (10 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Lin Han is often cited by papers focused on Atmospheric aerosols and clouds (10 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Lin Han collaborates with scholars based in China, United States and Canada. Lin Han's co-authors include Bo Wang, Chenyu You, Yuting He, Jun Ma, Feng Zhang, Jiangli Lin, Jun Li, Wenwen Li, Yan Zhuang and Pinglu Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Lin Han

42 papers receiving 1.2k citations

Hit Papers

Segment anything in medical images 2024 2026 2025 2024 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Segment anything in medical images
    2024 896 citations Lin Han et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Han China 12 426 380 372 147 109 50 1.2k
Nahian Siddique United States 8 431 1.0× 326 0.9× 270 0.7× 193 1.3× 142 1.3× 12 1.3k
Sidike Paheding United States 11 540 1.3× 350 0.9× 309 0.8× 212 1.4× 150 1.4× 36 1.6k
Colin Elkin United States 6 433 1.0× 337 0.9× 268 0.7× 191 1.3× 141 1.3× 8 1.3k
Simon Jégou France 8 640 1.5× 549 1.4× 381 1.0× 175 1.2× 91 0.8× 13 1.5k
Mei Chen China 22 508 1.2× 302 0.8× 739 2.0× 172 1.2× 72 0.7× 87 1.8k
Haofan Wang China 19 327 0.8× 175 0.5× 423 1.1× 76 0.5× 40 0.4× 53 1.6k
Cheng Chen China 22 662 1.6× 728 1.9× 949 2.6× 256 1.7× 166 1.5× 87 2.1k
Moein Heidari Iran 6 385 0.9× 337 0.9× 304 0.8× 120 0.8× 168 1.5× 7 855
B. Uma Shankar India 20 528 1.2× 530 1.4× 425 1.1× 211 1.4× 116 1.1× 47 1.6k
J. Anitha India 19 539 1.3× 349 0.9× 473 1.3× 72 0.5× 184 1.7× 118 1.5k

Countries citing papers authored by Lin Han

Since Specialization
Citations

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

Fields of papers citing papers by Lin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Han. A scholar is included among the top collaborators of Lin Han 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 Han. Lin Han 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.
Han, Lin, et al.. (2025). Planning model of a low-carbon landscape garden environment based on PSO-BP. International Journal of Low-Carbon Technologies. 20.
2.
Zhuang, Yan, Ke Chen, Lin Han, et al.. (2025). Enhancing named entity recognition with a novel BERT‐BiLSTM‐CRF‐RC joint training model for biomedical materials database. SHILAP Revista de lepidopterología. 3(1).
3.
Zhuang, Yan, Lin Han, Zhan Hua, et al.. (2025). Breast tumor detection in ultrasound images with anatomical prior knowledge. Image and Vision Computing. 162. 105724–105724.
4.
Han, Lin, et al.. (2025). CLANN: Cloud amount neural network for estimating 3D cloud from geostationary satellite imager. Remote Sensing of Environment. 318. 114600–114600.
5.
6.
Zhao, Rui, et al.. (2024). Responses of surface ozone under the tropical cyclone circulations: Case studies from Fujian Province, China. Atmospheric Pollution Research. 16(1). 102323–102323. 1 indexed citations
7.
8.
Wang, Rui, Lin Han, Ke Chen, et al.. (2024). Three-dimensional visualization of thyroid ultrasound images based on multi-scale features fusion and hierarchical attention. BioMedical Engineering OnLine. 23(1). 31–31. 3 indexed citations
9.
Zhang, Yuli, et al.. (2023). Two-stage stochastic programming with robust constraints for the logistics network post-disruption response strategy optimization. Frontiers of Engineering Management. 10(1). 67–81. 14 indexed citations
10.
Wang, X., Yan Zhuang, Lin Han, et al.. (2023). A Hierarchical Siamese Network for Noninvasive Staging of Liver Fibrosis Based on US Image Pairs of the Liver and Spleen. Sensors. 23(12). 5450–5450. 2 indexed citations
11.
Wang, Yuhang, et al.. (2023). A System Coupled GIS and CFD for Atmospheric Pollution Dispersion Simulation in Urban Blocks. Atmosphere. 14(5). 832–832. 3 indexed citations
12.
Zhang, Feng, Lin Han, Jiangnan Li, et al.. (2023). Optimized Alternate Mapping Correlated K‐Distribution Method for Atmospheric Longwave Radiative Transfer. Journal of Advances in Modeling Earth Systems. 15(5). 4 indexed citations
13.
Zhang, Heqing, Lin Han, Ke Chen, et al.. (2023). 2S-BUSGAN: A Novel Generative Adversarial Network for Realistic Breast Ultrasound Image with Corresponding Tumor Contour Based on Small Datasets. Sensors. 23(20). 8614–8614. 2 indexed citations
14.
Li, Wenwen, Feng Zhang, Lin Han, et al.. (2022). Cloud Detection and Classification Algorithms for Himawari-8 Imager Measurements Based on Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 32 indexed citations
15.
Zhang, Yuli, et al.. (2022). Distributionally robust front distribution center inventory optimization with uncertain multi-item orders. Discrete and Continuous Dynamical Systems - S. 15(7). 1777–1777. 1 indexed citations
16.
Zhang, Li‐Qun, Ke Chen, Lin Han, et al.. (2020). Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images. Journal of X-Ray Science and Technology. 28(6). 1123–1139. 3 indexed citations
17.
Han, Lin, Peng Zhao, & Haiwen Ge. (2019). A Computational Study on Laminar Flame Propagation in Mixtures with Non-Zero Reaction Progress. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
18.
Han, Lin, Feng Zhang, Kun Wu, & Jing Xu. (2019). Comparisons of δ-Two-Stream and δ-Four-Stream Radiative Transfer Schemes in RRTMG for Solar Spectra. SOLA. 15(0). 87–93. 7 indexed citations
19.
20.
Han, Lin, et al.. (2007). Dynamic decomposition algorithm merging control flow analysis.. Parallel and Distributed Processing Techniques and Applications. 245–249. 3 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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