Mingming Hu

1.5k total citations · 2 hit papers
53 papers, 1.1k citations indexed

About

Mingming Hu is a scholar working on Sociology and Political Science, Management Science and Operations Research and Marketing. According to data from OpenAlex, Mingming Hu has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 15 papers in Management Science and Operations Research and 6 papers in Marketing. Recurrent topics in Mingming Hu's work include Diverse Aspects of Tourism Research (13 papers), Multi-Criteria Decision Making (9 papers) and Digital Marketing and Social Media (8 papers). Mingming Hu is often cited by papers focused on Diverse Aspects of Tourism Research (13 papers), Multi-Criteria Decision Making (9 papers) and Digital Marketing and Social Media (8 papers). Mingming Hu collaborates with scholars based in China, Hong Kong and United Kingdom. Mingming Hu's co-authors include Hengyun Li, Haiyan Song, Gang Li, Jibin Lan, Zhiqian Chen, Yinglan Zhao, Tianyi Huang, Na Sang, Yanan Hu and Eunhye Park and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.

In The Last Decade

Mingming Hu

49 papers receiving 1.1k citations

Hit Papers

Recent progress in treatment of hepatocellular carcinoma. 2020 2026 2022 2024 2020 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingming Hu China 17 414 241 134 119 95 53 1.1k
Lingxian Zhang China 24 95 0.2× 60 0.2× 179 1.3× 13 0.1× 98 1.0× 73 2.3k
Martin R. Young New Zealand 22 88 0.2× 500 2.1× 257 1.9× 19 0.2× 64 0.7× 84 2.3k
Yoshiyuki Takeda Japan 24 137 0.3× 197 0.8× 317 2.4× 11 0.1× 162 1.7× 64 2.5k
Zongmin Li China 21 307 0.7× 220 0.9× 20 0.1× 13 0.1× 152 1.6× 72 1.2k
Paulo M.M. Rodrigues Portugal 19 202 0.5× 119 0.5× 17 0.1× 71 0.6× 72 0.8× 101 1.1k
Huirong Zhang China 19 74 0.2× 85 0.4× 250 1.9× 70 0.6× 68 0.7× 61 1.2k
Minhao Zhang China 22 254 0.6× 62 0.3× 60 0.4× 14 0.1× 105 1.1× 64 1.3k
Xun Li China 10 74 0.2× 36 0.1× 80 0.6× 20 0.2× 42 0.4× 23 959
Philip C. Jones United States 23 31 0.1× 101 0.4× 303 2.3× 82 0.7× 24 0.3× 70 1.5k
Volker Schneider Germany 20 387 0.9× 57 0.2× 48 0.4× 10 0.1× 21 0.2× 68 1.5k

Countries citing papers authored by Mingming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingming Hu. A scholar is included among the top collaborators of Mingming Hu 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 Mingming Hu. Mingming Hu 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.
Zhao, Xin, et al.. (2025). Identifying key influencing factors of cross-regional railway infrastructure interconnection: a fuzzy integrated MCDM framework. Humanities and Social Sciences Communications. 12(1). 1 indexed citations
2.
Hu, Mingming, et al.. (2025). Survival determinants and prediction for Airbnb listings. International Journal of Hospitality Management. 128. 104132–104132. 1 indexed citations
3.
Hu, Mingming, et al.. (2025). Tourism demand forecasting using compound pattern recognition. Tourism Management. 109. 105138–105138.
4.
Hu, Mingming, Li Mei, Yuxiu Chen, & Han Liu. (2024). Tourism forecasting by mixed-frequency machine learning. Tourism Management. 106. 105004–105004. 18 indexed citations
5.
Wu, Doris Chenguang, Wenjia Li, Ji Wu, Mingming Hu, & Shujie Shen. (2024). How well can ChatGPT forecast tourism demand?. Tourism Management. 108. 105119–105119. 3 indexed citations
6.
Li, Hengyun, Danting Cai, Gang Li, & Mingming Hu. (2024). The “Beauty Premium” Phenomenon: Appearance Discrimination in the P2P Market. Journal of Travel Research. 64(4). 783–811. 3 indexed citations
7.
Li, Zhijie, et al.. (2024). An integrated machine learning model for calcium carbonate scaling monitoring in a closed-cycle seawater cooling system. Journal of the Taiwan Institute of Chemical Engineers. 157. 105434–105434. 1 indexed citations
8.
Liu, Han, Yuxiu Chen, Mingming Hu, & Jason Li Chen. (2024). Forecast by mixed-frequency dynamic panel model. Annals of Tourism Research. 110. 103887–103887. 1 indexed citations
9.
Hu, Mingming, et al.. (2024). Tourism demand forecasting using short video information. Annals of Tourism Research. 109. 103838–103838. 9 indexed citations
10.
Yu, Zhaowu, Gaoyuan Yang, Xihan Yao, et al.. (2024). Quantifying physiological health efficiency and benefit threshold of greenspace exposure in typical urban landscapes. Environmental Pollution. 362. 124726–124726. 9 indexed citations
11.
Hu, Mingming, Richard T.R. Qiu, Doris Chenguang Wu, & Haiyan Song. (2020). Hierarchical pattern recognition for tourism demand forecasting. Tourism Management. 84. 104263–104263. 59 indexed citations
12.
Li, Shanze, Tian Xie, Steven C. Pennings, et al.. (2019). A comparison of coastal habitat restoration projects in China and the United States. Scientific Reports. 9(1). 14388–14388. 28 indexed citations
13.
Lan, Jibin, Mian Yang, Mingming Hu, & Fang Liu. (2018). MULTI-ATTRIBUTE GROUP DECISION MAKING BASED ON HESITANT FUZZY SETS, TOPSIS METHOD AND FUZZY PREFERENCE RELATIONS. Technological and Economic Development of Economy. 24(6). 2295–2317. 6 indexed citations
14.
Wang, Daoyang, Shuting Li, & Mingming Hu. (2017). [Comparisons of the influence of raising people's identity on mental health between two-parents family children and single parent family children by propensity score matching].. PubMed. 46(5). 709–716. 2 indexed citations
15.
Hu, Mingming, et al.. (2016). Current situation and comprehensive control measures of water environment in the Chaohu Lake.. 7(6). 45–50. 1 indexed citations
16.
Hu, Mingming, et al.. (2015). Measurement of the order degree in a tourist sightseeing system based on the linguistic operator.. Luyou xuekan. 30(6). 72–79. 3 indexed citations
17.
Yue-jin, LV, et al.. (2013). Algorithm for Attribute Reduction in Ordered Information Systems Based on Relative Differential Quantity of Advantage Classes. Mohu xitong yu shuxue. 27(1). 142–148. 2 indexed citations
18.
Lan, Jibin, et al.. (2011). Deriving interval weights from an interval multiplicative consistent fuzzy preference relation. Knowledge-Based Systems. 26. 128–134. 33 indexed citations
19.
Wang, Zhicong, Mingming Hu, Zhen Wang, et al.. (2010). SEASONAL REGIME SHIFT OF AN ALTERNATIVE-STATE LAKE XINGYUN, CHINA. Fresenius environmental bulletin. 19(8). 1474–1485. 13 indexed citations
20.
Toh, Rex S., William G. Browne, & Mingming Hu. (1996). FREQUENT-FLIER PROGRAMS: A COMPARATIVE STUDY OF THE AMERICAN AND AUSTRALIAN EXPERIENCES. Logistics and transportation review. 32(2). 5 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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