Feng Mao

84 total papers · 796 total citations
39 papers, 467 citations indexed

About

Feng Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Feng Mao has authored 39 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Feng Mao's work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Video Analysis and Summarization (3 papers). Feng Mao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Video Analysis and Summarization (3 papers). Feng Mao collaborates with scholars based in China, United States and France. Feng Mao's co-authors include Xipeng Shen, Jiahuan Lu, Qingquan Luo, Jia Huang, Liqiang Qian, Hui Zhang, Zhengping Ding, Yi Liu, Da Chen and Yuefeng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Feng Mao

34 papers receiving 454 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Feng Mao	173	110	107	71	70	39	467
Hao Lin	108 0.6×	73 0.7×	18 0.2×	65 0.9×	74 1.1×	54	497
Sourav Dutta	131 0.8×	55 0.5×	25 0.2×	114 1.6×	63 0.9×	46	534
Lin Teng	101 0.6×	88 0.8×	35 0.3×	40 0.6×	121 1.7×	45	455
Nasullah Khalid Alham	146 0.8×	95 0.9×	52 0.5×	132 1.9×	109 1.6×	24	517
Dragi Kimovski	72 0.4×	46 0.4×	42 0.4×	197 2.8×	62 0.9×	46	498
Mijung Kim	75 0.4×	104 0.9×	31 0.3×	120 1.7×	50 0.7×	50	549
Nazmus Sakib	145 0.8×	59 0.5×	29 0.3×	75 1.1×	52 0.7×	77	503
Meihong Wang	146 0.8×	103 0.9×	19 0.2×	50 0.7×	76 1.1×	37	540
Cheng Wang	78 0.5×	128 1.2×	67 0.6×	65 0.9×	26 0.4×	45	523
Fangfang Li	150 0.9×	48 0.4×	30 0.3×	42 0.6×	93 1.3×	45	502

Countries citing papers authored by Feng Mao

Since Specialization

Citations

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

Fields of papers citing papers by Feng Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Mao

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

All Works

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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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