Xiaomeng Yi

713 citations
10 papers · 252 · h-index 8

Impact in

Papers in

Xiaomeng Yi

10 papers receiving 247 citations

Peers

Xiaomeng Yi
Comparison fields: 5 of 46
  • Computer Networks and Communications 132
  • Information Systems 88
  • Management Information Systems 32
  • Signal Processing 32
  • Medical Laboratory Technology 4
Replace Uchechukwu Awada with:
Uchechukwu Awada China
Francesca Bugiotti France
Agnese Pinto Italy
Jacques Pasquier Switzerland
Suhel Ahmad Khan India
Anas Abou El Kalam Morocco
Karamjit Kaur India
Anirban Sarkar India
Mariam Kiran United Kingdom
Stefan Wesner Germany
Xiaomeng Yi relative to Uchechukwu Awada China Uchechukwu Awada's profile →
Citations per field
00.5×1.5×2.4×
Uchechukwu Awada · 1×
Citations per year

Countries citing papers authored by Xiaomeng Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomeng Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Xiaomeng Yi, 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 Xiaomeng Yi Line = papers co-authored together Xiaomeng Yi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014118
2 202245
3 201719
4 202417
5 201617
6 201714
7 202011
8 20237
9 20233
10 20251

About Xiaomeng Yi

Xiaomeng Yi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 10 papers that have together received 252 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Green IT and Sustainability (2 papers), Age of Information Optimization (2 papers), Graph Theory and Algorithms (2 papers), Data Management and Algorithms (2 papers), Image Retrieval and Classification Techniques (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (132 citations), Information Systems (88 citations), Management Information Systems (32 citations), Signal Processing (32 citations) and Medical Laboratory Technology (4 citations). Xiaomeng Yi has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Fangming Liu, Hai Jin, Jiangchuan Liu, Minghua Chen, Rentong Guo, Weizhi Xu, Zongpeng Li, John C. S. Lui, Frank Liu and Di Niu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Network, IEEE/ACM Transactions on Networking, ACM Transactions on Architecture and Code Optimization and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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