Xi’an University of Posts and Telecommunications

96.3k citations
8.2k papers ·

Impact in

Papers in

Xi’an University of Posts and Telecommunications

6.9k papers receiving 96.2k citations

Peers

Xi’an University of Posts and Telecommunications
Comparison fields: 5 of 224
  • Artificial Intelligence 15k
  • Computer Networks and Communications 9.6k
  • Management Science and Operations Research 5.6k
  • Media Technology 2.7k
  • Computer Vision and Pattern Recognition 6.8k
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Xi’an University of Posts and Telecommunications relative to Xi'an University of Technology China Xi'an University of Technology's profile →
Citations per field
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Xi'an University of Technology · 1×
Citations per year

Countries citing scholars working at Xi’an University of Posts and Telecommunications

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Xi’an University of Posts and Telecommunications. 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 papers produced at Xi’an University of Posts and Telecommunications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi’an University of Posts and Telecommunications more than expected).

Fields of papers published by authors at Xi’an University of Posts and Telecommunications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Xi’an University of Posts and Telecommunications at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Xi’an University of Posts and Telecommunications at the time of their publication.

About Xi’an University of Posts and Telecommunications

In recent decades, authors affiliated with Xi’an University of Posts and Telecommunications have published 8.2k papers, which have received a total of 96.3k indexed citations . Scholars at this organization have produced 1.1k papers in Computer Vision and Pattern Recognition, 1.4k papers in Artificial Intelligence, 311 papers in Media Technology, 714 papers in Computer Networks and Communications and 1.5k papers in Electrical and Electronic Engineering on the topics of Cryptography and Data Security (339 papers), Quantum Information and Cryptography (267 papers), Advanced Neural Network Applications (228 papers), Remote-Sensing Image Classification (205 papers), Medical Image Segmentation Techniques (182 papers), IoT and Edge/Fog Computing (161 papers), Advanced Clustering Algorithms Research (151 papers) and 2D Materials and Applications (129 papers). Their work is cited by papers focused on Artificial Intelligence (15k citations), Computer Networks and Communications (9.6k citations), Management Science and Operations Research (5.6k citations), Media Technology (2.7k citations) and Computer Vision and Pattern Recognition (6.8k citations). Authors at Xi’an University of Posts and Telecommunications collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Remote Sensing and Sustainability. Some of Xi’an University of Posts and Telecommunications's most productive authors include Feng Feng, Ming-Liang Hu, Yinghui Zhang, Dong Zheng, Guohui Li, Jiulun Fan, Hong Yang, Heng Fan, Yanmin Jia and Xin-Wei Zha.

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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