Yu Mao

1.4k total citations
75 papers, 968 citations indexed

About

Yu Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Yu Mao has authored 75 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Mechanical Engineering. Recurrent topics in Yu Mao's work include Advanced Welding Techniques Analysis (11 papers), Medical Imaging Techniques and Applications (6 papers) and Aluminum Alloys Composites Properties (5 papers). Yu Mao is often cited by papers focused on Advanced Welding Techniques Analysis (11 papers), Medical Imaging Techniques and Applications (6 papers) and Aluminum Alloys Composites Properties (5 papers). Yu Mao collaborates with scholars based in China, United States and Japan. Yu Mao's co-authors include Stanley Osher, Bin Dong, Wotao Yin, Rajinikanth Rajagopal, Gene Cheung, Anupam Vivek, Glenn S. Daehn, Chia-Lung Chen, Jérôme Gilles and Jun Wei Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yu Mao

69 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Mao China	18	200	194	152	145	108	75	968
Jingyi Zhang China	18	216 1.1×	76 0.4×	73 0.5×	91 0.6×	67 0.6×	106	1.0k
K. Itoh Japan	24	63 0.3×	130 0.7×	133 0.9×	91 0.6×	49 0.5×	127	1.5k
Xiaofeng Zhang China	17	134 0.7×	40 0.2×	47 0.3×	301 2.1×	72 0.7×	99	860
Yigang Wang China	16	162 0.8×	183 0.9×	99 0.7×	67 0.5×	50 0.5×	118	1.1k
P. Placidi Italy	17	48 0.2×	52 0.3×	45 0.3×	261 1.8×	48 0.4×	101	1.1k
Jae‐Hyung Kim South Korea	18	145 0.7×	78 0.4×	123 0.8×	90 0.6×	133 1.2×	78	1.8k
Mathias J. Krause Germany	21	186 0.9×	96 0.5×	1.1k 7.0×	198 1.4×	132 1.2×	118	1.6k
H. Golnabi Iran	17	110 0.6×	159 0.8×	127 0.8×	235 1.6×	79 0.7×	86	1.0k
Feihu Zhang China	16	60 0.3×	254 1.3×	36 0.2×	104 0.7×	69 0.6×	90	775

Countries citing papers authored by Yu Mao

Since Specialization

Citations

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

Fields of papers citing papers by Yu Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Mao

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

Ge, Qi, Yu Mao, Ding Zhou, et al.. (2025). Study of seismic performance and resilience of a precast concrete beam-column joint with a replaceable energy-dissipation component. Journal of Building Engineering. 103. 112167–112167. 3 indexed citations

Zhang, Jing, et al.. (2025). Event-level multimodal feature fusion for audio–visual event localization. Image and Vision Computing. 161. 105610–105610. 1 indexed citations

Zhang, Jianyue, Jianxiong Li, Jiashi Miao, et al.. (2024). Increasing joint strength in magnesium-aluminum dissimilar impact welding by surface nanocrystallization of magnesium alloy sheet. Scripta Materialia. 251. 116190–116190. 6 indexed citations

Mao, Yu, et al.. (2023). Online unsupervised generative learning framework based radar jamming waveform design. IET Radar Sonar & Navigation. 17(10). 1441–1455. 3 indexed citations

Kapil, Angshuman, et al.. (2020). A new approach for dissimilar aluminum-steel impact spot welding using vaporizing foil actuators. Journal of Manufacturing Processes. 58. 279–288. 17 indexed citations

Dong, Chunxi, et al.. (2020). Moving Target Localization in Multiple-Input Multiple-Output Radar Systems Without the Prior Knowledge of Measurement Noise Powers. IEEE Communications Letters. 24(9). 1957–1960. 16 indexed citations

Li, Jianxiong, Boyd Panton, Yu Mao, Anupam Vivek, & Glenn S. Daehn. (2020). High strength impact welding of NiTi and stainless steel wires. Smart Materials and Structures. 29(10). 105023–105023. 11 indexed citations

Lu, Yan, et al.. (2019). A new fatigue life model for thermally-induced cracking in H13 steel dies for die casting. Journal of Materials Processing Technology. 271. 444–454. 33 indexed citations

Li, Yinan, et al.. (2019). Chinese Lexical Based Sentiment Analysis Framework in Meteorology. 2. 1652–1658. 1 indexed citations

10.

Vivek, Anupam, et al.. (2016). Benchmarking and Refining the Vaporizing Foil Actuator Spot Welding Process. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 2 indexed citations

11.

Mao, Yu, Gene Cheung, Chia‐Wen Lin, & Yusheng Ji. (2016). Image classifier learning from noisy labels via generalized graph smoothness priors. 1–5. 3 indexed citations

12.

Mao, Yu, et al.. (2015). Geometric Calibration and Image Reconstruction for a Segmented Slant-Hole Stationary Cardiac SPECT System. Journal of Nuclear Medicine Technology. 43(2). 103–112. 1 indexed citations

13.

Ahamed, Ashiq, Rajinikanth Rajagopal, Di Wu, et al.. (2015). Multi-phased anaerobic baffled reactor treating food waste. Bioresource Technology. 182. 239–244. 43 indexed citations

14.

Rajagopal, Rajinikanth, Jun Wei Lim, Yu Mao, Chia-Lung Chen, & Jing‐Yuan Wang. (2012). Anaerobic co-digestion of source segregated brown water (feces-without-urine) and food waste: For Singapore context. The Science of The Total Environment. 443. 877–886. 83 indexed citations

15.

Mao, Yu, et al.. (2012). Semi-supervised learning via manifold regularization. The Journal of China Universities of Posts and Telecommunications. 19(6). 79–88. 2 indexed citations

16.

Mao, Yu, B Fahimian, Stanley Osher, & Jianwei Miao. (2010). Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography. IEEE Transactions on Image Processing. 19(5). 1259–1268. 36 indexed citations

17.

Fahimian, B, Yu Mao, Peter Cloetens, & Jianwei Miao. (2010). Low-dose x-ray phase-contrast and absorption CT using equally sloped tomography. Physics in Medicine and Biology. 55(18). 5383–5400. 38 indexed citations

18.

Zhang, Bo, Yanquan Zhou, & Yu Mao. (2010). Extracting opinion sentence by combination of SVM and syntactic templates. 1–7. 3 indexed citations

19.

Dong, Bin, Aichi Chien, Yu Mao, Jian Ye, & Stanley Osher. (2008). Level Set Based Surface Capturing in 3D Medical Images. Lecture notes in computer science. 11(Pt 1). 162–169. 6 indexed citations

20.

Huffman, G.L., et al.. (2000). Regulatory framework for the thermal treatment of various waste streams. Journal of Hazardous Materials. 76(1). 13–22. 10 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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