Diping Song

442 total citations
8 papers, 240 citations indexed

About

Diping Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diping Song has authored 8 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Ophthalmology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diping Song's work include Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (4 papers) and Retinal Diseases and Treatments (2 papers). Diping Song is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (4 papers) and Retinal Diseases and Treatments (2 papers). Diping Song collaborates with scholars based in China, United States and Hong Kong. Diping Song's co-authors include Yu Qiao, Xiulan Zhang, Fei Li, Jian Xiong, Kai Gao, Alessandro Corbetta, Junjun He, Dennis S.C. Lam, Ye Yuan and Hua Zhong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Ophthalmology and IEEE Transactions on Medical Imaging.

In The Last Decade

Diping Song

6 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diping Song China	6	186	165	63	36	17	8	240
Jianchun Zhao China	4	133 0.7×	90 0.5×	31 0.5×	19 0.5×	26 1.5×	15	149
Kaveri A. Thakoor United States	8	247 1.3×	217 1.3×	52 0.8×	68 1.9×	56 3.3×	30	326
Yijin Huang China	8	169 0.9×	96 0.6×	81 1.3×	43 1.2×	17 1.0×	23	209
Suria S. Mannil United States	7	254 1.4×	227 1.4×	29 0.5×	37 1.0×	52 3.1×	12	291
Junyan Lyu China	8	132 0.7×	67 0.4×	73 1.2×	51 1.4×	21 1.2×	23	205
Álvaro S. Hervella Spain	11	272 1.5×	172 1.0×	125 2.0×	51 1.4×	24 1.4×	21	318
Sami Alodhayb Saudi Arabia	8	241 1.3×	225 1.4×	84 1.3×	20 0.6×	9 0.5×	10	277
Jaemin Son South Korea	7	352 1.9×	234 1.4×	136 2.2×	68 1.9×	23 1.4×	7	400
Sophie Klimscha Austria	5	345 1.9×	312 1.9×	29 0.5×	59 1.6×	44 2.6×	9	422

Countries citing papers authored by Diping Song

Since Specialization

Citations

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

Fields of papers citing papers by Diping Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diping Song

This figure shows the co-authorship network connecting the top 25 collaborators of Diping Song. A scholar is included among the top collaborators of Diping Song 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 Diping Song. Diping Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Chen, Liqun, et al.. (2025). Efficient T staging in nasopharyngeal carcinoma via deep Learning-Based Multi-Modal classification. European Journal of Radiology. 192. 112407–112407.

2.

Song, Diping, Zefeng Yang, Biao Wang, et al.. (2025). VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced With Clinical Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11848–11862.

3.

Yang, Zefeng, Biao Wang, Fengqi Zhou, et al.. (2024). Understanding natural language: Potential application of large language models to ophthalmology. Asia-Pacific Journal of Ophthalmology. 13(4). 100085–100085. 18 indexed citations

4.

Song, Diping, Fei Li, Cheng Li, et al.. (2022). Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. Computers in Biology and Medicine. 151(Pt B). 106283–106283. 5 indexed citations

5.

Xiong, Jian, Fei Li, Diping Song, et al.. (2021). Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy. Ophthalmology. 129(2). 171–180. 61 indexed citations

6.

Song, Diping, Bin Fu, Fei Li, et al.. (2021). Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function. IEEE Transactions on Medical Imaging. 40(9). 2392–2402. 43 indexed citations

7.

Li, Fei, Diping Song, Ye Yuan, et al.. (2018). Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network. BMC Medical Imaging. 18(1). 35–35. 84 indexed citations

8.

Song, Diping, Yu Qiao, & Alessandro Corbetta. (2017). Depth driven people counting using deep region proposal network. TU/e Research Portal. 416–421. 29 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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