Xiping Hu

9.4k total citations · 7 hit papers
211 papers, 6.6k citations indexed

About

Xiping Hu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiping Hu has authored 211 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 51 papers in Electrical and Electronic Engineering and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiping Hu's work include IoT and Edge/Fog Computing (34 papers), Emotion and Mood Recognition (23 papers) and Vehicular Ad Hoc Networks (VANETs) (23 papers). Xiping Hu is often cited by papers focused on IoT and Edge/Fog Computing (34 papers), Emotion and Mood Recognition (23 papers) and Vehicular Ad Hoc Networks (VANETs) (23 papers). Xiping Hu collaborates with scholars based in China, Canada and Hong Kong. Xiping Hu's co-authors include Bin Hu, Zhaolong Ning, Xiaojie Wang, Victor C. M. Leung, Jun Cheng, Edith C.‐H. Ngai, Ricky Y. K. Kwok, Lei Guo, Li Zhou and Jibo Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Xiping Hu

186 papers receiving 6.5k citations

Hit Papers

Energy-Latency Tradeoff for Energy-Aware Offloading in Mo... 2017 2026 2020 2023 2017 2020 2020 2020 2020 100 200 300 400

Peers

Xiping Hu
Comparison fields: 5 of 149
  • Computer Networks and Communications 3.2k
  • Electrical and Electronic Engineering 2.0k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Information Systems 1.1k
Replace Cem Ersoy with:
Cem Ersoy Türkiye
Jun Luo China
Yixue Hao China
Tao Gu China
Saraju P. Mohanty United States
Marco Gruteser United States
Jianwei Niu China
Kaishun Wu China
M. Shamim Hossain Saudi Arabia
Cem Ersoy Türkiye View profile →
Citations per field, relative to Xiping Hu
Xiping Hu · 1×
Citations per year, relative to Xiping Hu
Xiping Hu · 1×

Countries citing papers authored by Xiping Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiping Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiping Hu. A scholar is included among the top collaborators of Xiping 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 Xiping Hu. Xiping 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
# Work Indexed citations
1 1
2 0
3 4
4 47
5 1
6 3
7 1
8 11
9
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction breakdown →
78
10 5
11 2
12 17
13 8
14 31
15 7
16 64
17 7
18 45
19 6
20 137

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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