Haixing Dai

1.3k total citations
23 papers, 283 citations indexed

About

Haixing Dai is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Haixing Dai has authored 23 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Haixing Dai's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Topic Modeling (4 papers). Haixing Dai is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Topic Modeling (4 papers). Haixing Dai collaborates with scholars based in United States, China and Hong Kong. Haixing Dai's co-authors include Tianming Liu, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Quanzheng Li, Dinggang Shen, Lu Zhang, Lin Zhao and Hongmin Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Medical Physics.

In The Last Decade

Haixing Dai

22 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haixing Dai United States 11 97 70 60 48 17 23 283
Mete Yağanoğlu Türkiye 10 79 0.8× 68 1.0× 8 0.1× 31 0.6× 48 2.8× 35 252
Shayan Hassantabar United States 6 139 1.4× 168 2.4× 21 0.3× 16 0.3× 62 3.6× 6 311
Xuemin Zhu China 4 127 1.3× 152 2.2× 35 0.6× 34 0.7× 42 2.5× 5 297
Refat Khan Pathan Malaysia 7 84 0.9× 51 0.7× 8 0.1× 10 0.2× 21 1.2× 15 215
Md. Jamal Uddin Bangladesh 12 69 0.7× 31 0.4× 5 0.1× 99 2.1× 18 1.1× 19 344
Ayush Tripathi India 10 99 1.0× 67 1.0× 13 0.2× 21 0.4× 31 1.8× 35 306
Ferhat Sadak Türkiye 10 43 0.4× 34 0.5× 14 0.2× 19 0.4× 24 1.4× 28 358
S. M. Mahedy Hasan Bangladesh 12 139 1.4× 38 0.5× 4 0.1× 50 1.0× 44 2.6× 64 340
Vijayalakshmi G. V. Mahesh India 8 176 1.8× 159 2.3× 12 0.2× 11 0.2× 149 8.8× 22 350
Sukhwinder Singh India 12 99 1.0× 71 1.0× 4 0.1× 52 1.1× 82 4.8× 52 384

Countries citing papers authored by Haixing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Haixing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Haixing Dai. A scholar is included among the top collaborators of Haixing Dai 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 Haixing Dai. Haixing Dai 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.
Dai, Haixing, Zhengliang Liu, Wenxiong Liao, et al.. (2025). AugGPT: Leveraging ChatGPT for Text Data Augmentation. IEEE Transactions on Big Data. 11(3). 907–918. 16 indexed citations
2.
Zhang, Lu, Xiaowei Yu, Zhengliang Liu, et al.. (2025). Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. IEEE Transactions on Big Data. 11(3). 1027–1041. 2 indexed citations
3.
Yang, Xiao, Haixing Dai, Zihao Wu, et al.. (2024). An innovative segment anything model for precision poultry monitoring. Computers and Electronics in Agriculture. 222. 109045–109045. 19 indexed citations
4.
Liao, Wenxiong, Zhengliang Liu, Haixing Dai, et al.. (2024). Mask-guided BERT for few-shot text classification. Neurocomputing. 610. 128576–128576. 17 indexed citations
5.
Zhao, Lin, Haixing Dai, Zihao Wu, et al.. (2024). Hierarchical functional differences between gyri and sulci at different scales. Cerebral Cortex. 34(3). 1 indexed citations
6.
Yan, Pingkun, Quanzheng Li, Haixing Dai, et al.. (2024). Artificial General Intelligence for Medical Imaging Analysis. UNC Libraries.
7.
Li, Xiang, Lin Zhao, Lu Zhang, et al.. (2024). Artificial General Intelligence for Medical Imaging Analysis. IEEE Reviews in Biomedical Engineering. 18. 113–129. 15 indexed citations
8.
Chen, Yuzhong, Yi Pan, Lin Zhao, et al.. (2024). Mask-Guided Vision Transformer for Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9636–9647. 2 indexed citations
9.
Liu, Zhengliang, Lu Zhang, Zihao Wu, et al.. (2024). Surviving ChatGPT in healthcare. SHILAP Revista de lepidopterología. 3. 1224682–1224682. 21 indexed citations
10.
Zhang, Lian, Zhengliang Liu, Lu Zhang, et al.. (2024). Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology. Medical Physics. 51(3). 2187–2199. 6 indexed citations
11.
Zhao, Lin, Haixing Dai, Zihao Wu, et al.. (2023). Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 584–594. 2 indexed citations
12.
Zhao, Lin, Zihao Wu, Haixing Dai, et al.. (2023). A generic framework for embedding human brain function with temporally correlated autoencoder. Medical Image Analysis. 89. 102892–102892. 5 indexed citations
13.
Liu, Chenbin, Zhengliang Liu, Jason Holmes, et al.. (2023). Artificial general intelligence for radiation oncology. SHILAP Revista de lepidopterología. 1(3). 100045–100045. 17 indexed citations
14.
Liao, Wenxiong, Zhengliang Liu, Haixing Dai, et al.. (2023). Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study. JMIR Medical Education. 9. e48904–e48904. 44 indexed citations
15.
Liao, Wenxiong, Zhengliang Liu, Yiyang Zhang, et al.. (2023). Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. 1294–1299. 1 indexed citations
16.
Zhao, Lin, Lu Zhang, Zihao Wu, et al.. (2023). When brain-inspired AI meets AGI. SHILAP Revista de lepidopterología. 1(1). 100005–100005. 45 indexed citations
17.
Zhao, Shijie, Xintao Hu, Qinglin Dong, et al.. (2020). Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connectivity. 10(2). 72–82. 13 indexed citations
18.
Dai, Haixing, et al.. (2020). Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. 1399–1403. 7 indexed citations
19.
Zhao, Yu, Haixing Dai, Wei Zhang, Fangfei Ge, & Tianming Liu. (2019). Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. 1576–1580. 14 indexed citations
20.
Zhu, Jonathan J. H., Hexin Chen, Tai‐Quan Peng, Xiao Fan Liu, & Haixing Dai. (2018). How to measure sessions of mobile phone use? Quantification, evaluation, and applications. Mobile Media & Communication. 6(2). 215–232. 10 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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