Cunli Mao

589 total citations
38 papers, 409 citations indexed

About

Cunli Mao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cunli Mao has authored 38 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cunli Mao's work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Web Data Mining and Analysis (7 papers). Cunli Mao is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Web Data Mining and Analysis (7 papers). Cunli Mao collaborates with scholars based in China, United States and Canada. Cunli Mao's co-authors include Zhengtao Yu, Huafeng Li, Mohamed Elhoseny, Xiaohui Yuan, Hamdy K. Elminir, A. M. Rıad, Zhengtao Yu, Xiaosong Li, Shengxiang Gao and Zhenqiu Shu and has published in prestigious journals such as Sensors, Information Sciences and Neurocomputing.

In The Last Decade

Cunli Mao

36 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunli Mao China 10 156 117 104 102 68 38 409
Jiajie Wang China 9 133 0.9× 125 1.1× 71 0.7× 41 0.4× 35 0.5× 28 333
Keren Tan United States 7 153 1.0× 128 1.1× 168 1.6× 40 0.4× 134 2.0× 15 408
Chao Yao China 11 196 1.3× 179 1.5× 63 0.6× 64 0.6× 27 0.4× 31 397
Chunyan Ma China 9 104 0.7× 64 0.5× 55 0.5× 39 0.4× 30 0.4× 35 275
Jong-An Park South Korea 11 175 1.1× 63 0.5× 55 0.5× 57 0.6× 43 0.6× 72 349
Dalila B. Megherbi United States 9 164 1.1× 106 0.9× 34 0.3× 47 0.5× 34 0.5× 85 366
Deni Torres-Román Mexico 11 72 0.5× 71 0.6× 141 1.4× 36 0.4× 77 1.1× 61 307
Bin Yan China 13 314 2.0× 110 0.9× 39 0.4× 25 0.2× 35 0.5× 60 484

Countries citing papers authored by Cunli Mao

Since Specialization
Citations

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

Fields of papers citing papers by Cunli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunli Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Cunli Mao. A scholar is included among the top collaborators of Cunli 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 Cunli Mao. Cunli 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
1.
Shu, Zhenqiu, Bin Li, Cunli Mao, Shengxiang Gao, & Zhengtao Yu. (2024). Structure-guided feature and cluster contrastive learning for multi-view clustering. Neurocomputing. 582. 127555–127555. 14 indexed citations
2.
Yu, Zhengtao, Hao Peng, Shengxiang Gao, et al.. (2024). Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4631–4646.
3.
Wang, Zhenhan, et al.. (2024). DRA: dynamic routing attention for neural machine translation with low-resource languages. International Journal of Machine Learning and Cybernetics. 2 indexed citations
4.
Li, Bin, Zhenqiu Shu, Yingbo Liu, et al.. (2023). Multi-view clustering via label-embedded regularized NMF with dual-graph constraints. Neurocomputing. 551. 126521–126521. 18 indexed citations
5.
Shu, Zhenqiu, et al.. (2022). Discrete asymmetric zero-shot hashing with application to cross-modal retrieval. Neurocomputing. 511. 366–379. 23 indexed citations
6.
Mao, Cunli, et al.. (2021). A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(4). 1–23. 5 indexed citations
7.
Liu, Ying, Tao Ye, Zhixiang Zeng, et al.. (2021). Generative adversarial network-enabled learning scheme for power grid vulnerability analysis. International Journal of Web and Grid Services. 17(2). 138–138. 4 indexed citations
8.
Zhang, Yu, Zhengtao Yu, Cunli Mao, Yuxin Huang, & Shengxiang Gao. (2020). Correlation analysis of law-related news combining bidirectional attention flow of news title and body. Journal of Intelligent & Fuzzy Systems. 40(3). 5623–5635. 3 indexed citations
9.
Wang, Hongbin, Jianxiong Wang, Yafei Zhang, Meng Wang, & Cunli Mao. (2019). Optimization of Topic Recognition Model for News Texts Based on LDA. Journal of Digital Information Management. 17(5). 257–257. 13 indexed citations
10.
Zhang, Shaoning, Cunli Mao, Zhengtao Yu, et al.. (2018). Word Segmentation for Burmese Based on Dual-Layer CRFs. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(1). 1–11. 2 indexed citations
11.
Ma, Xiaojun, et al.. (2017). Extracting hyponymy of domain entity using Cascaded Conditional Random Fields. Pattern Recognition and Image Analysis. 27(3). 637–644. 1 indexed citations
12.
Wang, Yongkai, et al.. (2016). Approach for topical sentence of news events extraction based on graph. 40(4). 443. 1 indexed citations
13.
Li, Huafeng, Xiaosong Li, Zhengtao Yu, & Cunli Mao. (2016). Multifocus image fusion by combining with mixed-order structure tensors and multiscale neighborhood. Information Sciences. 349-350. 25–49. 63 indexed citations
14.
Elhoseny, Mohamed, Xiaohui Yuan, Zhengtao Yu, et al.. (2015). Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm. IEEE Communications Letters. 19(12). 2194–2197. 120 indexed citations
15.
16.
Yu, Zhengtao, et al.. (2014). A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature. 19. 198–204. 1 indexed citations
17.
Mao, Cunli. (2012). Sparseness of Least Squares Support Vector Machines Based on Active Learning. Journal of Nanjing University of Science and Technology. 3 indexed citations
18.
Yu, Zhengtao, et al.. (2011). Naxi-English bilingual word alignment based on language feature model of Naxi. 27. 100–105. 1 indexed citations
19.
Mao, Cunli. (2009). Naxi-Chinese Bilingual Corpus and Building a Bilingual Corpus Alignment. Journal of Guangxi Normal University. 1 indexed citations
20.
Yu, Zhengtao, et al.. (2007). Research on Chinese FAQ Question Answering System in Restricted Domain. 33. 3927–3932. 3 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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