Mengchi Liu

2.5k total citations · 1 hit paper
85 papers, 1.4k citations indexed

About

Mengchi Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mengchi Liu has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 40 papers in Computer Networks and Communications and 33 papers in Signal Processing. Recurrent topics in Mengchi Liu's work include Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (30 papers) and Semantic Web and Ontologies (29 papers). Mengchi Liu is often cited by papers focused on Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (30 papers) and Semantic Web and Ontologies (29 papers). Mengchi Liu collaborates with scholars based in Canada, China and Taiwan. Mengchi Liu's co-authors include Junfeng Qu, Dongmei Yu, Jon‐Chao Hong, Suen‐Zone Lee, Junchi Zhang, Chien‐Min Chen, Yi‐Ling Chen, Ming‐Yueh Hwang, Hsi‐Hsien Yang and Yue Zhang and has published in prestigious journals such as Journal of Hazardous Materials, Expert Systems with Applications and Frontiers in Immunology.

In The Last Decade

Mengchi Liu

77 papers receiving 1.3k citations

Hit Papers

Mining high utility itemsets without candidate generation 2012 2026 2016 2021 2012 100 200 300 400
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. Mining high utility itemsets without candidate generation
    2012 421 citations Mengchi Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengchi Liu Canada 16 708 576 353 312 289 85 1.4k
José Raúl Romero Spain 19 614 0.9× 596 1.0× 225 0.6× 164 0.5× 34 0.1× 64 1.1k
Luca Cagliero Italy 18 370 0.5× 581 1.0× 131 0.4× 60 0.2× 116 0.4× 127 1.1k
Yajun Du China 16 334 0.5× 506 0.9× 77 0.2× 123 0.4× 149 0.5× 172 1.1k
Xinyu Wang China 19 447 0.6× 641 1.1× 29 0.1× 130 0.4× 94 0.3× 86 1.2k
Marco A. Casanova Brazil 18 443 0.6× 857 1.5× 51 0.1× 758 2.4× 403 1.4× 210 1.4k
Magdalini Eirinaki United States 18 1.0k 1.4× 642 1.1× 37 0.1× 365 1.2× 236 0.8× 70 1.7k
Haseeb Ahmad Pakistan 16 348 0.5× 492 0.9× 49 0.1× 242 0.8× 85 0.3× 80 1.1k
Dmitry I. Ignatov Russia 14 247 0.3× 325 0.6× 298 0.8× 25 0.1× 127 0.4× 85 692
Nurfadhlina Mohd Sharef Malaysia 16 347 0.5× 577 1.0× 27 0.1× 64 0.2× 71 0.2× 91 1.0k
Jiawei Chen China 21 745 1.1× 668 1.2× 26 0.1× 68 0.2× 104 0.4× 86 1.4k

Countries citing papers authored by Mengchi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mengchi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengchi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengchi Liu. A scholar is included among the top collaborators of Mengchi Liu 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 Mengchi Liu. Mengchi Liu 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.
Zhang, Yu, Haixia Guan, Xinliang Feng, et al.. (2025). Emerging strategies in colorectal cancer immunotherapy: enhancing efficacy and survival. Frontiers in Immunology. 16. 1616414–1616414. 1 indexed citations
2.
Liu, Mengchi, et al.. (2025). GPT4TFP: Spatio-temporal fusion large language model for traffic flow prediction. Neurocomputing. 625. 129562–129562. 9 indexed citations
3.
Liang, Rung‐Huei, et al.. (2025). Text collage for the future home stories: a cyberpunk-inspired storytelling from the perspective of a daily object. Digital Creativity. 36(3). 255–274.
4.
Liu, Mengchi, et al.. (2024). GMSN: An efficient multi-scale feature extraction network for gait recognition. Expert Systems with Applications. 252. 124250–124250. 8 indexed citations
5.
Zhong, Ming, Yuanyuan Zhu, Tieyun Qian, et al.. (2024). Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. 3338–3350.
6.
Zhong, Ming, et al.. (2024). A Unified and Scalable Algorithm Framework of User-Defined Temporal (k,X)-Core Query. IEEE Transactions on Knowledge and Data Engineering. 36(7). 2831–2845. 5 indexed citations
7.
Zhong, Ming, et al.. (2024). Evolution Forest Index: Towards Optimal Temporal k -Core Component Search via Time-Topology Isomorphic Computation. Proceedings of the VLDB Endowment. 17(11). 2840–2853.
8.
Yu, Ting, Mengchi Liu, Zujie Ren, & Ji Zhang. (2023). A fast approximate method for k-edge connected component detection in graphs with high accuracy. Information Sciences. 633. 384–409. 1 indexed citations
9.
Liu, Mengchi, et al.. (2023). ALCR: Adaptive loss based critic ranking toward variational autoencoders with multinomial likelihood and condition for collaborative filtering. Knowledge-Based Systems. 278. 110829–110829. 2 indexed citations
10.
Sun, Ke, Tieyun Qian, Chenliang Li, et al.. (2023). Pre-Training Across Different Cities for Next POI Recommendation. ACM Transactions on the Web. 17(4). 1–27. 5 indexed citations
11.
Yu, Ting, Mohamed Jaward Bah, Hao Huang, et al.. (2023). Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1650–1666. 1 indexed citations
12.
Liu, Mengchi & Dongmei Yu. (2022). Towards intelligent E-learning systems. Education and Information Technologies. 28(7). 7845–7876. 74 indexed citations
13.
Liu, Mengchi, et al.. (2012). Investigating Learner Affective Performance in Web-based Learning by using Entrepreneurship as a Metaphor. Educational Technology & Society. 15(3). 202–213. 5 indexed citations
14.
Liu, Mengchi, et al.. (2010). Investigating Knowledge Integration in Web-Based Thematic Learning Using Concept Mapping Assessment.. Educational Technology & Society. 13(2). 25–39. 31 indexed citations
15.
Liu, Mengchi, et al.. (2004). A gateway from HTML to XML. 205–214. 1 indexed citations
16.
Liu, Mengchi, Lu Li, & Guoren Wang. (2003). A Declarative XML-RL Update Language. 1 indexed citations
17.
Liu, Mengchi. (2000). Extending Datalog with Deductive Databases. 752–763. 2 indexed citations
18.
Liu, Mengchi, et al.. (1998). ROL: A Prototype for Deductive and Object-Oriented Databases (Demo). 598. 1 indexed citations
19.
Liu, Mengchi. (1998). Relationlog: A typed extension to Datalog with sets and tuples. The Journal of Logic Programming. 36(3). 271–299. 20 indexed citations
20.
Cleary, John & Mengchi Liu. (1993). DECLARATIVE UPDATES IN DEDUCTIVE DATABASES. PRISM (University of Calgary). 2 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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