Mengshen He

884 total citations · 1 hit paper
7 papers, 442 citations indexed

About

Mengshen He is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Health Informatics. According to data from OpenAlex, Mengshen He has authored 7 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cognitive Neuroscience and 2 papers in Health Informatics. Recurrent topics in Mengshen He's work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mengshen He is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mengshen He collaborates with scholars based in China and United States. Mengshen He's co-authors include Bao Ge, Zhengliang Liu, Xiang Li, Tianming Liu, Dajiang Zhu, Yiheng Liu, Lin Zhao, Hao He, Zihao Wu and Yuanyuan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Frontiers in Neuroscience.

In The Last Decade

Mengshen He

6 papers receiving 421 citations

Hit Papers

align trajectories

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.

Summary of ChatGPT-Related research and perspective towards the future of large language models

2023 408 citations Yiheng Liu, Tianle Han et al. SHILAP Revista de lepidopterología profile →

Peers

Mengshen He

AI

HI

RNMI

IS

CVPR

Tianle Han China

Konrad Wojtasik Poland

Qiang Ning China

Arkadiusz Janz Poland

Bartłomiej Koptyra Poland

Julita Bielaniewicz Poland

Łukasz Radliński Poland

Mateusz Kochanek Poland

Oliwier Kaszyca Poland

Igor Cichecki Poland

Tianle Han China

Mengshen He

214 ×1.0

AI

104 ×1.0

HI

46 ×0.9

RNMI

31 ×1.0

IS

27 ×0.9

CVPR

Citations per year, relative to Mengshen He Mengshen He (= 1×) peers Tianle Han

Countries citing papers authored by Mengshen He

Since Specialization

Citations

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

Fields of papers citing papers by Mengshen He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengshen He

This figure shows the co-authorship network connecting the top 25 collaborators of Mengshen He. A scholar is included among the top collaborators of Mengshen He 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 Mengshen He. Mengshen He 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:

7 of 7 papers shown

1.

Liu, Yiheng, Mengshen He, Zhengliang Liu, et al.. (2024). Mapping dynamic spatial patterns of brain function with spatial-wise attention. Journal of Neural Engineering. 21(2). 26005–26005. 2 indexed citations

2.

Liu, Jin, Lina Zhao, Hulin Kuang, et al.. (2024). A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT Images. IEEE Transactions on NanoBioscience. 23(4). 548–555. 1 indexed citations

3.

He, Mengshen, Shu Zhang, Ning Qiang, et al.. (2023). Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism. Cerebral Cortex. 33(13). 8405–8420. 5 indexed citations

4.

He, Mengshen, et al.. (2023). Multi-head attention-based masked sequence model for mapping functional brain networks. Frontiers in Neuroscience. 17. 1183145–1183145. 12 indexed citations

5.

He, Mengshen, et al.. (2023). Brain Surface Can Predict Fiber Connections.

6.

Liu, Yiheng, Tianle Han, Yuanyuan Yang, et al.. (2023). Summary of ChatGPT-Related research and perspective towards the future of large language models. SHILAP Revista de lepidopterología. 1(2). 100017–100017. 408 indexed citations breakdown →

7.

Liu, Zhengliang, Mengshen He, Zihao Wu, et al.. (2022). Survey on natural language processing in medical image analysis.. PubMed. 47(8). 981–993. 14 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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