Cheng Xie

1.5k total citations · 2 hit papers
64 papers, 1.0k citations indexed

About

Cheng Xie is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Cheng Xie has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Cheng Xie's work include Advanced Graph Neural Networks (12 papers), IoT and Edge/Fog Computing (10 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Cheng Xie is often cited by papers focused on Advanced Graph Neural Networks (12 papers), IoT and Edge/Fog Computing (10 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Cheng Xie collaborates with scholars based in China, United Kingdom and United States. Cheng Xie's co-authors include Boyi Xu, Fenglin Bu, Jingyuan Hu, Hongmin Cai, Li Da Xu, Hongming Cai, Lihong Jiang, Yun Yang, Li Da Xu and Po Yang and has published in prestigious journals such as Inorganic Chemistry, Expert Systems with Applications and IEEE Access.

In The Last Decade

Cheng Xie

55 papers receiving 957 citations

Hit Papers

Ubiquitous Data Accessing Method in IoT-Based Information... 2014 2026 2018 2022 2014 2025 100 200 300 400

Peers

Cheng Xie
Comparison fields: 5 of 111
  • Computer Networks and Communications 411
  • Information Systems 270
  • Artificial Intelligence 239
  • Computer Vision and Pattern Recognition 180
  • Industrial and Manufacturing Engineering 126
Replace Lihong Jiang with:
Lihong Jiang China
Zeeshan Pervez United Kingdom
Fenglin Bu China
Amit Kumar Tyagi India
Muhammad Muzammal Pakistan
Mohsen Marjani Malaysia
Ângelo Perkusich Brazil
Pankesh Patel India
Li Da Xu China
Mikhail Zymbler Russia
Lihong Jiang China View profile →
Citations per field, relative to Cheng Xie
Cheng Xie · 1×
Citations per year, relative to Cheng Xie
Cheng Xie · 1×

Countries citing papers authored by Cheng Xie

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Xie. A scholar is included among the top collaborators of Cheng Xie 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 Cheng Xie. Cheng Xie 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
# Work Indexed citations
1
Graph neural networks enabled accident causation prediction for maritime vessel traffic breakdown →
28
2 5
3 2
4 1
5 1
6 2
7 0
8 0
9 3
10 4
11 1
12 6
13 12
14 6
15 7
16 1
17 1
18 10
19 15
20 3

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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2026