Jiali Mao

69 total papers · 836 total citations
31 papers, 552 citations indexed

About

Jiali Mao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jiali Mao has authored 31 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Jiali Mao's work include Video Surveillance and Tracking Methods (6 papers), Data Management and Algorithms (6 papers) and Time Series Analysis and Forecasting (6 papers). Jiali Mao is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Data Management and Algorithms (6 papers) and Time Series Analysis and Forecasting (6 papers). Jiali Mao collaborates with scholars based in China, Thailand and Netherlands. Jiali Mao's co-authors include Jingyi Li, Tao Zhang, Jun Zeng, Yunlong Lei, Jinhua Wu, Yuquan Wei, Kui Wang, Rui Liu, Canhua Huang and Lijuan Chen and has published in prestigious journals such as Autophagy, IEEE Transactions on Knowledge and Data Engineering and Ceramics International.

In The Last Decade

Jiali Mao

24 papers receiving 541 citations

Author Peers

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

Author						Papers	Cites
Jiali Mao	217	168	82	65	51	31	552
Stefan Brenner	173 0.8×	21 0.1×	140 1.7×	36 0.6×	44 0.9×	32	570
Peng Yin	179 0.8×	28 0.2×	50 0.6×	17 0.3×	17 0.3×	57	615
Xiaoyi Zhang	90 0.4×	95 0.6×	105 1.3×	8 0.1×	9 0.2×	25	463
Zhaoxing Li	227 1.0×	36 0.2×	19 0.2×	11 0.2×	7 0.1×	53	515
Hafiz Muhammad Irfan	80 0.4×	48 0.3×	43 0.5×	24 0.4×	4 0.1×	52	605
Kumud Pant	136 0.6×	15 0.1×	48 0.6×	16 0.2×	6 0.1×	74	553
Xinfeng Zhang	207 1.0×	18 0.1×	63 0.8×	8 0.1×	4 0.1×	59	607
Haixin Wang	139 0.6×	46 0.3×	103 1.3×	43 0.7×	3 0.1×	40	542
Xin Liu	125 0.6×	16 0.1×	103 1.3×	23 0.4×	3 0.1×	38	472
Xueyuan Zhang	85 0.4×	15 0.1×	151 1.8×	31 0.5×	22 0.4×	51	527

Countries citing papers authored by Jiali Mao

Since Specialization

Citations

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

Fields of papers citing papers by Jiali Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiali Mao

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