Tingting Dan

753 total citations
34 papers, 474 citations indexed

About

Tingting Dan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Tingting Dan has authored 34 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cognitive Neuroscience. Recurrent topics in Tingting Dan's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (5 papers) and Remote-Sensing Image Classification (5 papers). Tingting Dan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (5 papers) and Remote-Sensing Image Classification (5 papers). Tingting Dan collaborates with scholars based in China, United States and South Korea. Tingting Dan's co-authors include Yang Yang, Zhuoqian Yang, Hongmin Cai, Hong Peng, Xijie Chen, Fei Song, Yue Zhang, Jiao Li, Zhihao Fan and Shengfeng He and has published in prestigious journals such as Nature Communications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Tingting Dan

28 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingting Dan China 13 240 130 123 96 79 34 474
Itsuo Kumazawa Japan 10 206 0.9× 106 0.8× 82 0.7× 32 0.3× 105 1.3× 101 512
Lifang Wei China 12 253 1.1× 64 0.5× 101 0.8× 87 0.9× 27 0.3× 58 416
Wei Jin China 13 256 1.1× 39 0.3× 107 0.9× 29 0.3× 115 1.5× 64 540
Eri Matsuyama Japan 8 208 0.9× 110 0.8× 100 0.8× 34 0.4× 112 1.4× 25 471
Boris Escalante‐Ramírez Mexico 14 302 1.3× 78 0.6× 118 1.0× 17 0.2× 183 2.3× 106 726
Haonan Wang China 6 464 1.9× 269 2.1× 254 2.1× 44 0.5× 88 1.1× 12 748
Jianan Chen China 10 254 1.1× 138 1.1× 224 1.8× 7 0.1× 66 0.8× 32 580
Yeqin Shao China 12 204 0.8× 91 0.7× 204 1.7× 32 0.3× 28 0.4× 38 458
Franck Marzani France 14 155 0.6× 127 1.0× 74 0.6× 55 0.6× 61 0.8× 57 569

Countries citing papers authored by Tingting Dan

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Dan. A scholar is included among the top collaborators of Tingting Dan 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 Tingting Dan. Tingting Dan 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.
Dan, Tingting, Jiaqi Ding, & Guorong Wu. (2025). Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization. Nature Communications. 16(1). 9425–9425.
2.
Wei, Ziquan, et al.. (2025). Efficient Graph Representation Learning by Non-Local Information Exchange. Electronics. 14(5). 1047–1047.
3.
4.
Dan, Tingting, et al.. (2025). Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport. IEEE Transactions on Medical Imaging. 44(7). 3100–3109.
5.
Dan, Tingting, et al.. (2024). TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Analysis. 95. 103210–103210.
6.
7.
Dan, Tingting, et al.. (2023). AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns. 4(9). 100806–100806. 19 indexed citations
8.
Hu, Yuxia, et al.. (2023). Weakly-supervised instance co-segmentation via tensor-based salient co-peak search. Frontiers of Computer Science. 18(2). 1 indexed citations
9.
Dan, Tingting, Minjeong Kim, Won Hwa Kim, & Guorong Wu. (2023). Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Transactions on Medical Imaging. 43(1). 427–438.
10.
Dan, Tingting, Xijie Chen, Miao He, et al.. (2022). DeepGA for automatically estimating fetal gestational age through ultrasound imaging. Artificial Intelligence in Medicine. 135. 102453–102453. 12 indexed citations
11.
Li, Haojiang, Jia‐Bin Huang, Chu Han, et al.. (2022). SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Analysis. 78. 102381–102381. 27 indexed citations
12.
Zhu, Ziwei, Xingming Zhang, Tingting Dan, et al.. (2021). Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort. Interdisciplinary Sciences Computational Life Sciences. 13(1). 73–82. 37 indexed citations
13.
Dan, Tingting, Yang Li, Ziwei Zhu, et al.. (2021). Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 4804–4811. 1 indexed citations
14.
Fan, Zhihao, et al.. (2021). SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution. Neurocomputing. 465. 238–247. 9 indexed citations
15.
Chen, Xijie, Miao He, Tingting Dan, et al.. (2020). Automatic Measurements of Fetal Lateral Ventricles in 2D Ultrasound Images Using Deep Learning. Frontiers in Neurology. 11. 526–526. 26 indexed citations
16.
Zhang, Yue, et al.. (2020). Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. Neurocomputing. 404. 340–350. 21 indexed citations
17.
Peng, Hong, et al.. (2020). Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. 623–628. 8 indexed citations
18.
19.
Song, Fei, Tingting Dan, Rui Yu, et al.. (2019). Small UAV-based multi-temporal change detection for monitoring cultivated land cover changes in mountainous terrain. Remote Sensing Letters. 10(6). 573–582. 13 indexed citations
20.
Dan, Tingting, et al.. (2017). Mixture feature based multi-temporal unstructured road image registration. 547–553. 1 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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