Qianlong Wang

2.6k citations
98 papers · 1.8k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Qianlong Wang

87 papers receiving 1.8k citations

Hit Papers

Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach 2018 · 340 citations
3402018202620202023100200300

Peers

Qianlong Wang
Comparison fields: 5 of 122
  • Artificial Intelligence 536
  • Computer Networks and Communications 340
  • Signal Processing 123
  • Electrical and Electronic Engineering 630
  • Materials Chemistry 351
Replace Xiaomin Wang with:
Xiaomin Wang China
Pan Wang China
Zhiwen Pan China
Jianhua Liu China
Min Zhang China
Yong Gan China
Binbin Chen Singapore
Lin Li China
Bin Chen China
Weiwei Xing China
Qianlong Wang relative to Xiaomin Wang China Xiaomin Wang's profile →
Citations per field
00.5×6.5×
Xiaomin Wang · 1×
Citations per year

Countries citing papers authored by Qianlong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qianlong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20248
6 202411
7 202421
8 20241
9 20241
10 20232
11 202318
12 20236
13 202333
14 202113
15 202116
16 20219
17 20214
18 202057
19 201911
20 2019222

About Qianlong Wang

Qianlong Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Analytical Chemistry, Renewable Energy, Sustainability and the Environment and Computer Networks and Communications, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (11 papers), Graphene research and applications (10 papers), Topic Modeling (9 papers), Privacy-Preserving Technologies in Data (8 papers), Natural Language Processing Techniques (7 papers), Thermal properties of materials (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Artificial Intelligence (536 citations), Computer Networks and Communications (340 citations), Signal Processing (123 citations), Electrical and Electronic Engineering (630 citations) and Materials Chemistry (351 citations). Qianlong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pan Li, Lixing Yu, Yifan Guo, Changqing Luo, Jinlong Ji, Xuhui Chen, Tianxi Ji, Hao Chen, Shujing Chen and Weixian Liao. Their work appears in journals such as IEEE Internet of Things Journal, IET Electric Power Applications, Advanced Functional Materials, IEEE Transactions on Network Science and Engineering and Journal of Colloid and Interface Science.

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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