Qi Mao

7.2k total citations · 1 hit paper
43 papers, 4.0k citations indexed

About

Qi Mao is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qi Mao has authored 43 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qi Mao's work include Face and Expression Recognition (9 papers), Plant-Microbe Interactions and Immunity (5 papers) and Genomics and Phylogenetic Studies (5 papers). Qi Mao is often cited by papers focused on Face and Expression Recognition (9 papers), Plant-Microbe Interactions and Immunity (5 papers) and Genomics and Phylogenetic Studies (5 papers). Qi Mao collaborates with scholars based in China, United States and Singapore. Qi Mao's co-authors include Xiaojie Qiu, Cole Trapnell, Li Wang, Ying Tang, Raghav Chawla, Hannah A. Pliner, Ivor W. Tsang, Golam Jalal Ahammed, Ebenezer Owusu and Yaru Yan and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Qi Mao

42 papers receiving 3.9k citations

Hit Papers

Reversed graph embedding resolves complex single-cell tra... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reversed graph embedding resolves complex single-cell trajectories
    2017 2.6k citations Xiaojie Qiu, Qi Mao et al. Nature Methods profile →

Peers

Qi Mao
Jan Aerts Belgium
Lan Jiang China
Sündüz Keleş United States
Ivan G. Costa Germany
Jian Ma United States
Florian Wagner Germany
Benjamin P. Berman United States
Javier Herrero United Kingdom
Hilmar Lapp United States
Immanuel Kwok Singapore
Jan Aerts Belgium
Qi Mao
Citations per year, relative to Qi Mao Qi Mao (= 1×) peers Jan Aerts

Countries citing papers authored by Qi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Qi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Mao. A scholar is included among the top collaborators of Qi 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 Qi Mao. Qi 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, Qi, Bingjie Zhang, Sheng Tian, et al.. (2022). Structural optimizations and bioevaluation of N-H aporphine analogues as Gq-biased and selective serotonin 5-HT2C receptor agonists. Bioorganic Chemistry. 123. 105795–105795. 3 indexed citations
4.
Ahammed, Golam Jalal, Qi Mao, Yaru Yan, et al.. (2020). Role of Melatonin in Arbuscular Mycorrhizal Fungi-Induced Resistance to Fusarium Wilt in Cucumber. Phytopathology. 110(5). 999–1009. 75 indexed citations
5.
Ahammed, Golam Jalal, Yaqi Wang, Qi Mao, et al.. (2020). Dopamine alleviates bisphenol A-induced phytotoxicity by enhancing antioxidant and detoxification potential in cucumber. Environmental Pollution. 259. 113957–113957. 82 indexed citations
6.
Chen, Shuangchen, Yaru Yan, Yaqi Wang, et al.. (2019). Trichoderma asperellum reduces phoxim residue in roots by promoting plant detoxification potential in Solanum lycopersicum L.. Environmental Pollution. 259. 113893–113893. 24 indexed citations
7.
Xiao, Xuan, Xiang Cheng, Gen-Qiang Chen, Qi Mao, & Kuo‐Chen Chou. (2018). pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC. Genomics. 111(4). 886–892. 104 indexed citations
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Ye, Na, Bang Li, Qi Mao, et al.. (2018). Orphan Receptor GPR88 as an Emerging Neurotherapeutic Target. ACS Chemical Neuroscience. 10(1). 190–200. 26 indexed citations
10.
Cai, Yunpeng, Weitao Zheng, Jin Yao, et al.. (2017). ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. PLoS Computational Biology. 13(4). e1005518–e1005518. 13 indexed citations
11.
Wang, Li, Qi Mao, & Ivor W. Tsang. (2017). Latent Smooth Skeleton Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 4 indexed citations
12.
Qiu, Xiaojie, Qi Mao, Ying Tang, et al.. (2017). Reversed graph embedding resolves complex single-cell trajectories. Nature Methods. 14(10). 979–982. 2596 indexed citations breakdown →
13.
Chen, Chengjie, Yafeng Zhang, Zhiqiang Xu, et al.. (2016). Transcriptome Profiling of the Pineapple under Low Temperature to Facilitate Its Breeding for Cold Tolerance. PLoS ONE. 11(9). e0163315–e0163315. 27 indexed citations
14.
Mao, Qi, Li Wang, Ivor W. Tsang, & Yijun Sun. (2016). Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(11). 2227–2241. 47 indexed citations
15.
Mao, Qi, Le Yang, Li Wang, Steve Goodison, & Yijun Sun. (2015). SimplePPT: A Simple Principal Tree Algorithm. 792–800. 13 indexed citations
16.
Mao, Qi & Ivor W. Tsang. (2013). A Feature Selection Method for Multivariate Performance Measures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(9). 2051–2063. 53 indexed citations
17.
Yang, Jian, et al.. (2012). Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. UTS ePRESS (University of Technology Sydney). 744–753. 11 indexed citations
18.
Zhou, Joey Tianyi, Sinno Jialin Pan, Qi Mao, & Ivor W. Tsang. (2012). Multi-view Positive and Unlabeled Learning. DR-NTU (Nanyang Technological University). 555–570. 12 indexed citations
19.
Mao, Qi & Ivor W. Tsang. (2011). Multiple Template Learning for Structured Prediction. 36. 279–88. 2 indexed citations
20.
Anumanchipalli, Gopala K., et al.. (2010). KLATTSTAT: knowledge-based parametric speech synthesis.. SSW. 206–210. 6 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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