Ting Mao

683 total citations
36 papers, 527 citations indexed

About

Ting Mao is a scholar working on Media Technology, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Mao has authored 36 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 10 papers in Mechanical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Mao's work include Remote-Sensing Image Classification (10 papers), Advanced machining processes and optimization (8 papers) and Injection Molding Process and Properties (5 papers). Ting Mao is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Advanced machining processes and optimization (8 papers) and Injection Molding Process and Properties (5 papers). Ting Mao collaborates with scholars based in China, Hong Kong and United States. Ting Mao's co-authors include Yun Zhang, Huang Gao, Dequn Li, Huamin Zhou, Yang Fu, Huamin Zhou, Shu Yang, Hong Tang, Shaodan Li and Yuan Gao and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Geoscience and Remote Sensing and Journal of Materials Processing Technology.

In The Last Decade

Ting Mao

33 papers receiving 511 citations

Peers

Ting Mao
Sudha Radhika India
Dawei Li China
Jinfang Zhang China
Yongcun Guo China
Shi Qiu China
František Brumerčík Slovakia
Sudha Radhika India
Ting Mao
Citations per year, relative to Ting Mao Ting Mao (= 1×) peers Sudha Radhika

Countries citing papers authored by Ting Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Mao. A scholar is included among the top collaborators of Ting Mao 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 Ting Mao. Ting Mao 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
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Mao, Ting, et al.. (2024). SAU-Net: A Novel Network for Building Extraction From High-Resolution Remote Sensing Images by Reconstructing Fine-Grained Semantic Features. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6747–6761. 8 indexed citations
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Yuan, J., et al.. (2024). Impact of microplastics exposure on liver health: A comprehensive meta-analysis. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 288. 110080–110080. 4 indexed citations
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Mao, Ting & Longsheng Cheng. (2023). Truck APS Fault Detection Based on Modified Mahalanobis-Taguchi System. 379–383.
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Wu, Jian, et al.. (2022). Global exacerbation of episodic local vegetation greenness decline since the 21st century. The Science of The Total Environment. 840. 156411–156411. 6 indexed citations
9.
Mao, Ting, et al.. (2020). Modified Mahalanobis-Taguchi System based on proper orthogonal decomposition for high-dimensional-small-sample-size data classification. Mathematical Biosciences & Engineering. 18(1). 426–444. 4 indexed citations
10.
Cheng, Bo, et al.. (2020). Random Cropping Ensemble Neural Network for Image Classification in a Robotic Arm Grasping System. IEEE Transactions on Instrumentation and Measurement. 69(9). 6795–6806. 27 indexed citations
11.
Mao, Ting, Lei Li, Shilin Wang, et al.. (2020). Electrodeposition of CdTe Thin Films for Solar Energy Water Splitting. Materials. 13(7). 1536–1536. 17 indexed citations
12.
Zhang, Yun, et al.. (2018). Feature extraction and physical interpretation of melt pressure during injection molding process. Journal of Materials Processing Technology. 261. 50–60. 29 indexed citations
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Mao, Ting, et al.. (2018). Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. Computers & Chemical Engineering. 118. 77–90. 21 indexed citations
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Fu, Yang, Yun Zhang, Yuan Gao, et al.. (2017). Machining vibration states monitoring based on image representation using convolutional neural networks. Engineering Applications of Artificial Intelligence. 65. 240–251. 61 indexed citations
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Zhang, Yun, et al.. (2017). Monitoring and dynamic control of quality stability for injection molding process. Journal of Materials Processing Technology. 249. 358–366. 77 indexed citations
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Yang, Shu, Ting Mao, Hong Tang, Jing Li, & Xin Yang. (2015). Unsupervised classification of VHR panchromatic images using guided Chinese restaurant franchise mixture model. 3. 2413–2416. 2 indexed citations
17.
Tang, Hong, et al.. (2015). Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images by Combining the HDP and IBP on Multiple Scenes. IEEE Transactions on Geoscience and Remote Sensing. 53(11). 6148–6162. 10 indexed citations
18.
Zhang, Yun, et al.. (2015). A statistical quality monitoring method for plastic injection molding using machine built-in sensors. The International Journal of Advanced Manufacturing Technology. 85(9-12). 2483–2494. 44 indexed citations
19.
Li, Shaodan, et al.. (2015). Unsupervised Detection of Earthquake-Triggered Roof-Holes From UAV Images Using Joint Color and Shape Features. IEEE Geoscience and Remote Sensing Letters. 12(9). 1823–1827. 46 indexed citations
20.
Mao, Ting. (2010). Research on Partial Discharge Diagnosis of GIS by Decomposed Gas of SF_6. Power System Technology. 8 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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2026