Tingzhao Yu

400 total citations
22 papers, 236 citations indexed

About

Tingzhao Yu is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Tingzhao Yu has authored 22 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Atmospheric Science and 5 papers in Environmental Engineering. Recurrent topics in Tingzhao Yu's work include Human Pose and Action Recognition (6 papers), Meteorological Phenomena and Simulations (5 papers) and Advanced Vision and Imaging (4 papers). Tingzhao Yu is often cited by papers focused on Human Pose and Action Recognition (6 papers), Meteorological Phenomena and Simulations (5 papers) and Advanced Vision and Imaging (4 papers). Tingzhao Yu collaborates with scholars based in China, United States and United Kingdom. Tingzhao Yu's co-authors include Chunhong Pan, Shiming Xiang, Lingfeng Wang, Ruyi Yang, Chaoxu Guo, Canhui Cai, Wensheng Zhang, Sushmita Mitra, Cheng Da and Aritra Dasgupta and has published in prestigious journals such as Atmospheric Environment, IEEE Access and Pattern Recognition.

In The Last Decade

Tingzhao Yu

21 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tingzhao Yu China	11	108	66	51	42	33	22	236
Su-Kit Tang Macao	12	70 0.6×	51 0.8×	45 0.9×	33 0.8×	50 1.5×	66	344
Michael Kopp Austria	6	61 0.6×	105 1.6×	40 0.8×	58 1.4×	24 0.7×	14	293
Yi Rong China	7	54 0.5×	38 0.6×	31 0.6×	20 0.5×	35 1.1×	32	194
Emmanuel de Bézenac France	5	35 0.3×	82 1.2×	52 1.0×	50 1.2×	46 1.4×	8	278
Zhuobin Zheng China	4	63 0.6×	71 1.1×	70 1.4×	59 1.4×	37 1.1×	9	285
Yujia Xie China	8	77 0.7×	40 0.6×	34 0.7×	29 0.7×	23 0.7×	27	178
K. K. Thyagharajan India	11	163 1.5×	53 0.8×	43 0.8×	41 1.0×	30 0.9×	58	370
Ashraf S. Hussein Egypt	10	170 1.6×	61 0.9×	20 0.4×	10 0.2×	41 1.2×	41	346
Neha Gupta India	8	68 0.6×	42 0.6×	55 1.1×	26 0.6×	9 0.3×	40	264
Evaggelia Tsiligianni Belgium	9	90 0.8×	47 0.7×	22 0.4×	39 0.9×	123 3.7×	20	381

Countries citing papers authored by Tingzhao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Tingzhao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingzhao Yu

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

Yu, Tingzhao, et al.. (2024). Interpretable machine learning for weather and climate prediction: A review. Atmospheric Environment. 338. 120797–120797. 27 indexed citations

Ding, Jin, Guoping Zhang, Shudong Wang, et al.. (2023). Characteristic Analysis and Short-Impending Prediction of Aircraft Bumpiness over Airport Approach Areas and Flight Routes. Atmosphere. 14(11). 1704–1704.

Huang, Yan, et al.. (2023). MAFormer: A New Method for Radar Reflectivity Reconstructing Using Satellite Data. Atmosphere. 14(12). 1723–1723. 1 indexed citations

Zhang, Guoping, et al.. (2023). Characteristics of cloud-to-ground lightning (CG) and differences between +CG and −CG strokes in China regarding the China National Lightning Detection Network. Natural hazards and earth system sciences. 23(12). 3747–3759. 3 indexed citations

Yu, Tingzhao & Ruyi Yang. (2023). Temporal Dynamic Network With Learnable Coupled Adjacent Matrix for Wind Forecasting. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations

Yu, Tingzhao, et al.. (2022). Terrain-Guided Flatten Memory Network for Deep Spatial Wind Downscaling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9468–9481. 10 indexed citations

Yu, Tingzhao, et al.. (2022). Multi-modal spatio-temporal meteorological forecasting with deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing. 188. 380–393. 19 indexed citations

Zhang, Fang, et al.. (2022). Deep Quantified Visibility Estimation for Traffic Image. Atmosphere. 14(1). 61–61. 4 indexed citations

Yu, Tingzhao, et al.. (2021). ATMConvGRU for Weather Forecasting. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 21 indexed citations

10.

Yu, Tingzhao, et al.. (2021). MetPGNet: Meteorological Prior Guided Network for Temperature Forecasting. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 3 indexed citations

11.

Yu, Tingzhao, et al.. (2021). Deep Precipitation Downscaling. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations

12.

Yu, Tingzhao, et al.. (2020). Global-Similarity Local-Salience Network for Traffic Weather Recognition. IEEE Access. 9. 4607–4615. 10 indexed citations

13.

Yu, Tingzhao, et al.. (2019). Weakly Semantic Guided Action Recognition. IEEE Transactions on Multimedia. 21(10). 2504–2517. 21 indexed citations

14.

Guo, Chaoxu, et al.. (2018). Mgn: Multi-Glimpse Network for Action Recognition. 1932–1936. 1 indexed citations

15.

Yu, Tingzhao, et al.. (2018). Pseudo low rank video representation. Pattern Recognition. 85. 50–59. 13 indexed citations

16.

Yu, Tingzhao, et al.. (2018). Deep generative video prediction. Pattern Recognition Letters. 110. 58–65. 10 indexed citations

17.

Yu, Tingzhao, Chaoxu Guo, Lingfeng Wang, Shiming Xiang, & Chunhong Pan. (2018). Self-Paced AutoEncoder. IEEE Signal Processing Letters. 25(7). 1054–1058. 15 indexed citations

18.

Yu, Tingzhao, et al.. (2016). Colour image demosaicking via joint intra and inter channel information. Electronics Letters. 52(8). 605–607. 5 indexed citations

19.

Yu, Tingzhao & Wensheng Zhang. (2016). Semisupervised Multilabel Learning With Joint Dimensionality Reduction. IEEE Signal Processing Letters. 23(6). 795–799. 12 indexed citations

20.

Cai, Canhui, Tingzhao Yu, & Sushmita Mitra. (2001). Saturation-based adaptive inverse gradient interpolation for Bayer pattern images. IEE Proceedings - Vision Image and Signal Processing. 148(3). 202–202. 18 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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