Qian Mao

1.2k citations
39 papers · 805 indexed · 1 hit paper · h-index 12

Qian Mao

36 papers receiving 783 citations

Hit Papers

Deep Learning for Intelligent Wireless Networks: A Compre...5372018202620202023100200300400500

Peers

Qian Mao
Comparison fields: 5 of 86
  • Computer Networks and Communications 278
  • Computer Vision and Pattern Recognition 160
  • Artificial Intelligence 229
  • Electrical and Electronic Engineering 385
  • Signal Processing 54
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Ping Zhao China
Qasim Ali Arain Pakistan
Ying Ju China
Manuel Eugenio Morocho-Cayamcela Ecuador
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Citations per year

Countries citing papers authored by Qian Mao

Since Specialization
Citations

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

Fields of papers citing papers by Qian Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Qian Mao, 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 Qian Mao Line = papers co-authored together Qian Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20253
3 202410
4 20247
5 20242
6 20240
7 201913
8 20172
9
Novel Lossless Morphing Algorithm for Secret Sharing via Meaningful Images.
20166
10
A Meaningful Scheme for Sharing Secret Images Using Mosaic Images
20152
11
Calculation Method of Evaluators' Dynamic Influence on Bargaining Evaluation
20141
12 20133
13 20131
14 201331
15 201210
16 20113
17
Development of Control Unit for Bell Prover Gas Calibration Facility
20100
18 20070
19 20041
20
Network Design and Management
20021

About Qian Mao

Qian Mao is a scholar working on Computer Vision and Pattern Recognition, Business and International Management and Computer Networks and Communications, having authored 39 papers that have together received 805 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (11 papers), Advancements in Battery Materials (5 papers), Advanced Battery Technologies Research (4 papers), Digital Media Forensic Detection (4 papers), Error Correcting Code Techniques (3 papers), Advanced Battery Materials and Technologies (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Computer Vision and Pattern Recognition (160 citations) and Artificial Intelligence (229 citations). Qian Mao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fei Hu, Qi Hao, Chin‐Chen Chang, Fan Li, Chuan Qin, Fan Li, Fan Yang, Peng Yue, Abdulaziz A. Alsulami and Sikandar Ali Qalati. Their work appears in journals such as Chemical Engineering Journal, Applied Energy and IEEE Communications Surveys & Tutorials.

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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