Mingxi Cheng

767 citations
23 papers · 428 · h-index 9

Impact in

Papers in

Mingxi Cheng

21 papers receiving 417 citations

Peers

Mingxi Cheng
Comparison fields: 5 of 80
  • Information Systems 220
  • Computer Networks and Communications 194
  • Health Informatics 6
  • Artificial Intelligence 127
  • Statistical and Nonlinear Physics 46
Replace Gaochao Xu with:
Gaochao Xu China
Šarūnas Girdzijauskas Sweden
Ananthram Swami United States
Yiliang Han China
M. Sadiq Ali Khan Pakistan
Kálmán Graffi Germany
Sisi Duan China
K.H. Yeung Hong Kong
Mingxi Cheng relative to Gaochao Xu China Gaochao Xu's profile →
Citations per field
00.5×2.7×
Gaochao Xu · 1×
Citations per year

Countries citing papers authored by Mingxi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Mingxi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingxi Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingxi Cheng Line = papers co-authored together Mingxi Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 202061
3 201854
4 202147
5 202324
6 202024
7 202119
8 202118
9 201915
10 20215
11 20224
12 20214
13 20242
14 20242
15 20182
16 20242
17 20152
18
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
20191
19 20231
20
LEX-GAN: Layered Explainable Rumor Detector Based on Generative Adversarial Networks
20191

About Mingxi Cheng

Mingxi Cheng is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 428 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (5 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers), Advanced Neural Network Applications (3 papers), Logic, Reasoning, and Knowledge (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Information Systems (220 citations), Computer Networks and Communications (194 citations), Health Informatics (6 citations), Artificial Intelligence (127 citations) and Statistical and Nonlinear Physics (46 citations). Mingxi Cheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shahin Nazarian, Ji Li, Paul Bogdan, Xiongye Xiao, Tianqi Yang, Xiaofeng Yan, Yizhi Li, Wenshuo Wang, Songli Wang and Ștefan Mihăicuță. Their work appears in journals such as Scientific Reports, Advanced Science, New Phytologist, Frontiers in Psychology and Autonomous Agents and Multi-Agent Systems.

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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