Chuishi Meng

1.2k total citations · 1 hit paper
20 papers, 825 citations indexed

About

Chuishi Meng is a scholar working on Transportation, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Chuishi Meng has authored 20 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Transportation, 8 papers in Building and Construction and 4 papers in Artificial Intelligence. Recurrent topics in Chuishi Meng's work include Human Mobility and Location-Based Analysis (11 papers), Traffic Prediction and Management Techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Chuishi Meng is often cited by papers focused on Human Mobility and Location-Based Analysis (11 papers), Traffic Prediction and Management Techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Chuishi Meng collaborates with scholars based in United States, China and Hong Kong. Chuishi Meng's co-authors include Lü Su, Yaliang Li, Yu Zheng, Jing Gao, Wei Fan, Bo Zhao, Jiawei Han, Qi Li, Jing Gao and Qing He and has published in prestigious journals such as Applied Soft Computing, Transportation Research Part C Emerging Technologies and Knowledge-Based Systems.

In The Last Decade

Chuishi Meng

18 papers receiving 814 citations

Hit Papers

A Survey on Truth Discovery 2016 2026 2019 2022 2016 50 100 150 200 250
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. A Survey on Truth Discovery
    2016 259 citations Yaliang Li, Jing Gao et al. ACM SIGKDD Explorations Newsletter profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuishi Meng United States 12 415 280 246 143 121 20 825
Zhenni Feng China 7 233 0.6× 334 1.2× 186 0.8× 45 0.3× 70 0.6× 17 565
Yongli Ren Australia 15 348 0.8× 52 0.2× 147 0.6× 66 0.5× 391 3.2× 76 834
Bingqing Qu Switzerland 7 299 0.7× 47 0.2× 307 1.2× 46 0.3× 241 2.0× 16 665
Guoju Gao China 17 353 0.9× 483 1.7× 163 0.7× 30 0.2× 190 1.6× 49 854
Shenggong Ji China 14 148 0.4× 45 0.2× 128 0.5× 112 0.8× 67 0.6× 21 520
Peng Han China 17 359 0.9× 40 0.1× 255 1.0× 144 1.0× 390 3.2× 52 981
Jingtao Ding China 16 294 0.7× 29 0.1× 218 0.9× 130 0.9× 342 2.8× 51 761
Leong Hou U Macao 18 198 0.5× 68 0.2× 180 0.7× 47 0.3× 177 1.5× 84 823

Countries citing papers authored by Chuishi Meng

Since Specialization
Citations

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

Fields of papers citing papers by Chuishi Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuishi Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Chuishi Meng. A scholar is included among the top collaborators of Chuishi Meng 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 Chuishi Meng. Chuishi Meng 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.
Cao, Lixue, Qi Lei, Chuishi Meng, et al.. (2025). Luteolin protects against alcoholic liver injury by restoring NRF2 stability to suppress ACSS2 nuclear accumulation. npj Science of Food. 9(1). 234–234.
2.
Liang, Yuxuan, Chuishi Meng, Yanhua Li, et al.. (2024). The 13th International Workshop on Urban Computing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6727–6728.
3.
Meng, Chuishi, Yanhua Li, Yu Zheng, et al.. (2023). The 12th International Workshop on Urban Computing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5874–5875. 1 indexed citations
4.
Wang, Zhaoyuan, Shenggong Ji, Zheyi Pan, et al.. (2023). Housing rental suggestion based on e-commerce data. Knowledge-Based Systems. 268. 110474–110474. 1 indexed citations
5.
Meng, Chuishi, Yanhua Li, Yu Zheng, et al.. (2022). The 11th International Workshop on Urban Computing. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4886–4887. 2 indexed citations
6.
Ruan, Sijie, Yanhua Li, Jie Bao, et al.. (2021). MTrajRec. 1410–1419. 51 indexed citations
7.
Liu, Yang, Yingting Liu, Zhijie Liu, et al.. (2020). Federated Forest. IEEE Transactions on Big Data. 8(3). 843–854. 88 indexed citations
8.
Wang, Zhaoyuan, Junbo Zhang, Shenggong Ji, et al.. (2020). Predicting and ranking box office revenue of movies based on big data. Information Fusion. 60. 25–40. 34 indexed citations
9.
Ruan, Sijie, Jie Bao, Yuxuan Liang, et al.. (2020). Dynamic Public Resource Allocation Based on Human Mobility Prediction. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(1). 1–22. 28 indexed citations
10.
Wang, Zhaoyuan, Chuishi Meng, Shenggong Ji, Tianrui Li, & Yu Zheng. (2020). Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant. Applied Soft Computing. 93. 106369–106369. 4 indexed citations
11.
Meng, Chuishi, Yu Cui, Qing He, Lü Su, & Jing Gao. (2019). Towards the Inference of Travel Purpose with Heterogeneous Urban Data. IEEE Transactions on Big Data. 8(1). 166–177. 8 indexed citations
12.
Cui, Yu, Chuishi Meng, Qing He, & Jing Gao. (2018). Forecasting current and next trip purpose with social media data and Google Places. Transportation Research Part C Emerging Technologies. 97. 159–174. 58 indexed citations
13.
Ma, Fenglong, Chuishi Meng, Houping Xiao, et al.. (2017). Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. 967–976. 34 indexed citations
14.
Meng, Chuishi, Xiuwen Yi, Lü Su, Jing Gao, & Yu Zheng. (2017). City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. 1–10. 74 indexed citations
15.
Meng, Chuishi, Yu Cui, Qing He, Lü Su, & Jing Gao. (2017). Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data. 1319–1324. 30 indexed citations
16.
Meng, Chuishi, Houping Xiao, Lü Su, & Yun Cheng. (2016). Tackling the Redundancy and Sparsity in Crowd Sensing Applications. 150–163. 19 indexed citations
17.
Li, Yaliang, Jing Gao, Chuishi Meng, et al.. (2016). A Survey on Truth Discovery. ACM SIGKDD Explorations Newsletter. 17(2). 1–16. 259 indexed citations breakdown →
18.
Meng, Chuishi, Wenjun Jiang, Yaliang Li, et al.. (2015). Truth Discovery on Crowd Sensing of Correlated Entities. 169–182. 120 indexed citations
19.
Meng, Chuishi & Donald C. Chang. (1994). Study of Calcium Signaling in Cell Cleavage Using Confocal Microscopy. Biological Bulletin. 187(2). 234–235. 13 indexed citations
20.
Samarabandu, Jagath, Raj Acharya, Ping C. Cheng, et al.. (1992). <title>Three-dimensional structural analysis from biological confocal images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1556. 154–163. 1 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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