Mingli Wu

870 total citations · 1 hit paper
28 papers, 515 citations indexed

About

Mingli Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mingli Wu has authored 28 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Mingli Wu's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Text Analysis Techniques (10 papers). Mingli Wu is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Text Analysis Techniques (10 papers). Mingli Wu collaborates with scholars based in China, Hong Kong and United States. Mingli Wu's co-authors include Wenjie Li, Kam‐Fai Wong, Song Guo, Minyi Guo, Kun Wang, Chunming Rong, Qin Lu, Wei Xu, Baoli Li and Mohsen Guizani and has published in prestigious journals such as IEEE Internet of Things Journal, Applied Sciences and Heliyon.

In The Last Decade

Mingli Wu

23 papers receiving 479 citations

Hit Papers

A Comprehensive Survey of Blockchain: From Theory to IoT ... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Mingli Wu
Ronald Doku United States
Haiqin Wu China
Jeromy Carrière United States
Chi Xu Singapore
Kevin Liu United States
Mingli Wu
Citations per year, relative to Mingli Wu Mingli Wu (= 1×) peers Víctor Gayoso Martínez

Countries citing papers authored by Mingli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingli Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingli Wu. A scholar is included among the top collaborators of Mingli Wu 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 Mingli Wu. Mingli Wu 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
2.
Wu, Mingli, et al.. (2023). DaGATN: A Type of Machine Reading Comprehension Based on Discourse-Apperceptive Graph Attention Networks. Applied Sciences. 13(22). 12156–12156. 1 indexed citations
4.
Xu, Wenchao, et al.. (2020). Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation. IEEE Internet of Things Journal. 7(4). 3114–3123. 12 indexed citations
5.
Wu, Yuwei, et al.. (2019). Measuring Semantic Similarity between Words Based on Multiple Relational Information. IEICE Transactions on Information and Systems. E103.D(1). 163–169. 3 indexed citations
6.
Wu, Mingli & Tsz Hon Yuen. (2019). Securely Perturb Big Data by using Inner Product. 1–8.
7.
8.
Wu, Mingli, et al.. (2018). Query Recommendation Using Topic Modeling and Word Embeddings. 86–92. 2 indexed citations
9.
Wu, Mingli, et al.. (2016). Automatic Detection of SIP-Aware Attacks on VoLTE Device. 8. 1–5. 5 indexed citations
11.
Wong, Kam‐Fai, Yunqing Xia, Ruifeng Xu, Mingli Wu, & Wenjie Li. (2008). Pattern-Based Opinion Mining for Stock Market Trend Prediction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 21(4). 347–361. 12 indexed citations
12.
Wong, Kam‐Fai, Mingli Wu, & Wenjie Li. (2008). Extractive summarization using supervised and semi-supervised learning. 1. 985–992. 135 indexed citations
13.
Wu, Mingli, Wenjie Li, Furu Wei, Qin Lu, & Kam‐Fai Wong. (2007). Exploiting Surface, Content and Relevance Features for Learning-Based Extractive Summarization. 234–241. 1 indexed citations
14.
Liu, Maofu, Wenjie Li, Mingli Wu, & Qin Lu. (2007). Extractive summarization based on event term clustering. 185–185. 12 indexed citations
15.
Wu, Mingli, et al.. (2006). Wireless Network Wide Interval Frequency Hopping and Research of its Performance. Computer Engineering and Applications Journal. 42(14). 141–142.
16.
Li, Wenjie, Mingli Wu, Qin Lu, & Kam‐Fai Wong. (2006). Integrating Temporal Distribution Information into Event-Based Summarization. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 19(02n03). 201–222. 1 indexed citations
17.
Wu, Mingli. (2006). Investigations on event-based summarization. 37–37. 7 indexed citations
18.
Li, Wenjie, Baoli Li, & Mingli Wu. (2006). Query Focus Guided Sentence Selection Strategy for DUC 2006. 4 indexed citations
19.
Li, Wenjie, et al.. (2006). Extractive summarization using inter- and intra- event relevance. 369–376. 45 indexed citations
20.
Li, Wenjie, Wei Li, Baoli Li, Qing Chen, & Mingli Wu. (2005). The Hong Kong Polytechnic University at DUC2005. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 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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