Dawei Yin

631 total citations
35 papers, 205 citations indexed

About

Dawei Yin is a scholar working on Artificial Intelligence, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dawei Yin has authored 35 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Organic Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dawei Yin's work include Topic Modeling (7 papers), Synthesis and biological activity (5 papers) and Natural Language Processing Techniques (5 papers). Dawei Yin is often cited by papers focused on Topic Modeling (7 papers), Synthesis and biological activity (5 papers) and Natural Language Processing Techniques (5 papers). Dawei Yin collaborates with scholars based in China, Netherlands and Thailand. Dawei Yin's co-authors include Yuting Liu, Shuaiqiang Wang, Pengjie Ren, Zhaochun Ren, Xinyu Ma, Zhumin Chen, Yuan Fang, Zemei Ge, Wen Sun and Runtao Li and has published in prestigious journals such as Cerebral Cortex, Journal of Affective Disorders and RSC Advances.

In The Last Decade

Dawei Yin

28 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawei Yin China	7	82	66	39	20	16	35	205
Xiaobao Wu Singapore	9	117 1.4×	49 0.7×	24 0.6×	5 0.3×	13 0.8×	32	210
Yunqing Liu China	5	92 1.1×	48 0.7×	70 1.8×	16 0.8×	31 1.9×	10	218
Ori Shalev Israel	8	39 0.5×	34 0.5×	19 0.5×	7 0.3×	16 1.0×	19	271
Yizhen Chen China	9	26 0.3×	42 0.6×	11 0.3×	122 6.1×	24 1.5×	27	277
Yunqi Qiu China	7	150 1.8×	14 0.2×	22 0.6×	32 1.6×	26 1.6×	15	218
Amira Soliman Sweden	8	49 0.6×	4 0.1×	14 0.4×	2 0.1×	34 2.1×	27	192
K. S. Manjunatha India	7	39 0.5×	193 2.9×	20 0.5×	78 3.9×	40 2.5×	23	320
Eelke van der Horst Netherlands	10	50 0.6×	18 0.3×	19 0.5×	4 0.2×	175 10.9×	16	250
Maroua Mehri Tunisia	8	19 0.2×	20 0.3×	6 0.2×	111 5.5×	10 0.6×	23	185

Countries citing papers authored by Dawei Yin

Since Specialization

Citations

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

Fields of papers citing papers by Dawei Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Yin. A scholar is included among the top collaborators of Dawei Yin 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 Dawei Yin. Dawei Yin 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

Wang, T., et al.. (2025). A 3D deep learning model based on MRI for predicting lymphovascular invasion in rectal cancer. Medical Physics. 52(7). e17882–e17882.

Yin, Dawei, et al.. (2024). Impairments of neurovascular coupling after stroke lower glymphatic system function and lead to depressive symptom: A longitudinal cohort study. Journal of Affective Disorders. 367. 255–262. 5 indexed citations

Zhou, Wenjie, et al.. (2024). GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. 1650–1658.

Yin, Dawei, et al.. (2024). Neuroimaging of neuropsychological disturbances following ischaemic stroke (CONNECT): a prospective cohort study protocol. BMJ Open. 14(1). e077799–e077799. 1 indexed citations

Wang, Shuaiqiang, Dawei Yin, Pengjie Ren, et al.. (2024). KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. Leiden Repository (Leiden University). 14535–14556. 2 indexed citations

Sun, Hao, Hengyi Cai, Xiaochi Wei, et al.. (2024). Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. 8211–8227. 1 indexed citations

Deng, Kexue, et al.. (2024). Based on Gadolinium Ethoxybenzyl DTPA–Enhanced MRI: Diagnostic Performance of the Category-Modified LR-5 Criteria in Patients At Risk for Hepatocellular Carcinoma. Technology in Cancer Research & Treatment. 23. 2233998747–2233998747. 1 indexed citations

Dang, Chi V., et al.. (2024). Synthesis of Ferrocenyl Chalcone-Containing Aminourea Schiff Bases and Their Detection on Tryptophan. Journal of Fluorescence. 35(7). 5751–5760.

Zhu, Dongsheng, Weidong Han, Jinghui Lu, et al.. (2024). VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. Open Repository and Bibliography (University of Luxembourg). 2122–2135.

10.

Wang, Shuaiqiang, et al.. (2024). A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. 613–625. 3 indexed citations

11.

Li, Piji, et al.. (2023). Feature-Level Debiased Natural Language Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13353–13361. 8 indexed citations

12.

Zhang, Hui, et al.. (2023). Altered Resting-State Brain Activity and Functional Connectivity in Post-Stroke Apathy: An fMRI Study. Brain Sciences. 13(5). 730–730. 3 indexed citations

13.

Ma, Xinyu, Shuaiqiang Wang, Pengjie Ren, et al.. (2023). Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. Leiden Repository (Leiden University). 14918–14937. 66 indexed citations

14.

Ma, Yao, et al.. (2023). Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?. 10696–10711. 5 indexed citations

15.

Wang, Jinjing, Mengmeng Gu, Lulu Xiao, et al.. (2022). Association of Lesion Location and Fatigue Symptoms After Ischemic Stroke: A VLSM Study. Frontiers in Aging Neuroscience. 14. 902604–902604. 13 indexed citations

16.

Jiang, Lan, et al.. (2022). On Length Divergence Bias in Textual Matching Models. Findings of the Association for Computational Linguistics: ACL 2022. 4187–4193. 1 indexed citations

17.

Dong, Qian, Yiding Liu, Suqi Cheng, et al.. (2022). Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1490–1501. 6 indexed citations

18.

Liu, Yuting, et al.. (2019). One-pot, multi-component synthesis of 3,4-dihydropyrimidin-2(1H)-one derivatives containing ferrocenyl. Research on Chemical Intermediates. 46(1). 547–555. 2 indexed citations

19.

Liu, Yuting, et al.. (2016). Latest Progress and Application of Mannich Reaction. Chinese Journal of Organic Chemistry. 36(5). 927–927. 9 indexed citations

20.

Han, Xin, He Guo, Dawei Yin, & Yong Zhang. (2008). A note on on-line broadcast scheduling with deadlines. Information Processing Letters. 109(3). 204–207.

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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