Xing Di

410 total citations
21 papers, 234 citations indexed

About

Xing Di is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Xing Di has authored 21 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Radiation. Recurrent topics in Xing Di's work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (5 papers) and Face recognition and analysis (4 papers). Xing Di is often cited by papers focused on Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (5 papers) and Face recognition and analysis (4 papers). Xing Di collaborates with scholars based in China, United States and United Kingdom. Xing Di's co-authors include Vishal M. Patel, Zichuan Xu, Pan Zhou, Yu Cheng, Xiaoye Qu, Shuowen Hu, Yanjiao Chen, Kai Zou, Yinzhen Wang and Xueluan Gong and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and IEEE Network.

In The Last Decade

Xing Di

19 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing Di China	9	176	86	32	12	10	21	234
Paul Hongsuck Seo United States	7	239 1.4×	121 1.4×	23 0.7×	7 0.6×	4 0.4×	15	325
Dmytro Okhonko United States	4	216 1.2×	187 2.2×	13 0.4×	4 0.3×	8 0.8×	4	307
Dan Kondratyuk United States	4	131 0.7×	206 2.4×	10 0.3×	5 0.4×	4 0.4×	4	290
Ladislav Lenc Czechia	7	122 0.7×	121 1.4×	24 0.8×	19 1.6×	7 0.7×	27	226
Jay Zhangjie Wu Singapore	4	202 1.1×	43 0.5×	21 0.7×	4 0.3×	3 0.3×	8	243
Mohammad Saberian United States	10	169 1.0×	113 1.3×	21 0.7×	7 0.6×	2 0.2×	19	240
Klemen Grm Slovenia	5	135 0.8×	31 0.4×	64 2.0×	14 1.2×	4 0.4×	7	181
Jiefeng Peng China	5	150 0.9×	119 1.4×	10 0.3×	6 0.5×	10 1.0×	7	202
Mary Phuong Austria	4	78 0.4×	113 1.3×	9 0.3×	8 0.7×	16 1.6×	6	159
Jihwan Bang South Korea	4	143 0.8×	187 2.2×	12 0.4×	26 2.2×	7 0.7×	5	253

Countries citing papers authored by Xing Di

Since Specialization

Citations

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

Fields of papers citing papers by Xing Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Di

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

20 of 20 papers shown

Qu, Qiang, Xing Di, Yongliang Chen, & Ming-Qiang Zhu. (2025). Modulating pore channels of activated carbon from biomass to assemble zinc ion hybrid supercapacitor with high specific capacitance. Journal of Bioresources and Bioproducts. 10(4). 616–630.

Di, Xing, et al.. (2024). ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation. 6075–6086. 3 indexed citations

Jin, Tao, et al.. (2024). Assessment of scintillation and Cherenkov imaging as beam shape verification method in CyberKnife® radiotherapy. Journal of Applied Clinical Medical Physics. 25(12). e14508–e14508.

Geng, Changran, Xing Di, Xu Li, et al.. (2023). Measurement of field match lines in electron beam radiotherapy using carbon quantum dot sheeting enhanced Cherenkov imaging. Radiation Measurements. 169. 107030–107030. 1 indexed citations

Liu, Daizong, Xiaoye Qu, Jianfeng Dong, et al.. (2023). Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Transactions on Multimedia Computing Communications and Applications. 20(4). 1–19. 4 indexed citations

Fang, Xiang, et al.. (2023). Hypotheses Tree Building for One-Shot Temporal Sentence Localization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1640–1648. 12 indexed citations

Liu, Daizong, Xing Di, Yang Song, et al.. (2022). Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. 590–600. 7 indexed citations

Qu, Xiaoye, Yinzhen Wang, Xing Di, et al.. (2022). Unsupervised Temporal Video Grounding with Deep Semantic Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1683–1691. 36 indexed citations

Sun, Yuhua, Xingjun Ma, Jian Lou, et al.. (2022). Backdoor Attacks on Crowd Counting. Proceedings of the 30th ACM International Conference on Multimedia. 11 indexed citations

10.

Di, Xing, et al.. (2022). Enhanced Cherenkov imaging for real‐time beam visualization by applying a novel carbon quantum dot sheeting in radiotherapy. Medical Physics. 50(2). 1215–1227. 3 indexed citations

11.

Qu, Xiaoye, et al.. (2022). Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1665–1673. 44 indexed citations

12.

Di, Xing, Shuowen Hu, & Vishal M. Patel. (2021). Heterogeneous Face Frontalization via Domain Agnostic Learning. arXiv (Cornell University). 1–8. 13 indexed citations

13.

Guo, Dazhou, Jia Ge, Xing Di, et al.. (2021). Anatomy Guided Thoracic Lymph Node Station Delineation in CT Using Deep Learning Model. International Journal of Radiation Oncology*Biology*Physics. 111(3). e120–e121. 2 indexed citations

14.

Yang, Jucheng, Xing Di, Zhiqiang Hu, & Yao Tong. (2021). A two‐branch network with pyramid‐based local and spatial attention global feature learning for vehicle re‐identification. CAAI Transactions on Intelligence Technology. 6(1). 46–54. 16 indexed citations

15.

Chen, Yanjiao, et al.. (2020). Backdoor Attacks and Defenses for Deep Neural Networks in Outsourced Cloud Environments. IEEE Network. 34(5). 141–147. 25 indexed citations

16.

Di, Xing, et al.. (2019). On Museum Tourism Development from the Perspective of Cultural Identity Experience — Taking the Core Area of the 21st Century Maritime Silk Road as an Example. 1 indexed citations

17.

Di, Xing & Vishal M. Patel. (2017). Large Margin Multi-Modal Triplet Metric Learning. 10. 370–377. 4 indexed citations

18.

Di, Xing, et al.. (2016). Research on unmanned vehicle control algorithm during driving curve. 50. 8836–8841. 2 indexed citations

19.

Di, Xing & Vishal M. Patel. (2016). Deep Tattoo Recognition. 119–126. 14 indexed citations

20.

Di, Xing, et al.. (2013). Thermodynamic and Kinetic Study of Competitive Adsorption Between Sodium Anthraquinone-1-Sulfonate and Xylenol Orange on Expanded Graphite. Asian Journal of Chemistry. 25(1). 82–88. 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.

Explore authors with similar magnitude of impact