Qiang Qu

6.2k total citations · 2 hit papers
200 papers, 4.0k citations indexed

About

Qiang Qu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Qiang Qu has authored 200 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 42 papers in Information Systems and 29 papers in Computer Networks and Communications. Recurrent topics in Qiang Qu's work include Topic Modeling (25 papers), Advanced ceramic materials synthesis (20 papers) and Blockchain Technology Applications and Security (19 papers). Qiang Qu is often cited by papers focused on Topic Modeling (25 papers), Advanced ceramic materials synthesis (20 papers) and Blockchain Technology Applications and Security (19 papers). Qiang Qu collaborates with scholars based in China, United States and Russia. Qiang Qu's co-authors include Seyed Mojtaba Hosseini Bamakan, Muhammad Muzammal, Qingshan Jiang, Min Yang, Siyuan Liu, Xinghong Zhang, Changqing Hong, Ying Shen, Jia Zhu and Abdur Rasool and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of the American Ceramic Society.

In The Last Decade

Qiang Qu

187 papers receiving 3.8k citations

Hit Papers

Patents and intellectual property assets as non-fungible ... 2022 2026 2023 2024 2022 2025 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qiang Qu China 34 1.2k 998 572 542 532 200 4.0k
Jian Tang China 26 1.4k 1.2× 228 0.2× 60 0.1× 95 0.2× 359 0.7× 94 2.9k
Xiaodi Huang Australia 33 654 0.6× 371 0.4× 48 0.1× 271 0.5× 206 0.4× 196 3.8k
Lida Xu China 42 812 0.7× 1.2k 1.2× 33 0.1× 1.2k 2.2× 315 0.6× 171 5.4k
Yidong Li China 39 854 0.7× 489 0.5× 33 0.1× 498 0.9× 232 0.4× 285 4.7k
Zhili Zhou China 37 986 0.8× 566 0.6× 50 0.1× 713 1.3× 107 0.2× 214 4.7k
Qiang Li China 23 641 0.6× 452 0.5× 44 0.1× 697 1.3× 176 0.3× 235 2.0k
Ting Liu China 40 2.1k 1.8× 1.4k 1.4× 20 0.0× 1.4k 2.6× 252 0.5× 283 6.0k
Insup Lee United States 47 1.7k 1.4× 1.1k 1.1× 19 0.0× 2.5k 4.5× 200 0.4× 485 8.2k
Zhou Su China 54 2.1k 1.8× 2.5k 2.5× 23 0.0× 4.5k 8.3× 206 0.4× 464 9.7k
Yongli Wang China 21 1.1k 1.0× 509 0.5× 14 0.0× 262 0.5× 94 0.2× 158 2.6k

Countries citing papers authored by Qiang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Qu. A scholar is included among the top collaborators of Qiang Qu 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 Qiang Qu. Qiang Qu 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
1.
Chen, Jiacheng, et al.. (2025). The structural characteristics and pyrolysis products properties based on cotton stalks and husks. Industrial Crops and Products. 227. 120858–120858. 6 indexed citations
2.
Dong, Xuewen, Jiachen Li, Shujun Li, et al.. (2025). Adaptive Backdoor Attacks With Reasonable Constraints on Graph Neural Networks. IEEE Transactions on Dependable and Secure Computing. 22(4). 4053–4069. 1 indexed citations
3.
Karim, Md Monjurul, et al.. (2025). Bitcoin reimagined: A comprehensive study of ordinals and inscriptions protocols for Web3 asset innovation. Blockchain Research and Applications. 100379–100379.
4.
Karim, Md Monjurul, et al.. (2025). AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents. Future Internet. 17(2). 57–57. 13 indexed citations breakdown →
5.
Xiang, Dan, et al.. (2024). Attenuated color channel adaptive correction and bilateral weight fusion for underwater image enhancement. Optics and Lasers in Engineering. 184. 108575–108575. 9 indexed citations
7.
Zhang, Pengyi, Yuchen Yuan, Jie Song, et al.. (2024). Introducing on-chain graph data to consortium blockchain for commercial transactions. Frontiers of Computer Science. 18(2). 2 indexed citations
8.
Qu, Qiang, et al.. (2024). Preparation of panda-shaped photonic crystal fibers with and without silver wire. Chinese Optics Letters. 22(5). 50603–50603. 1 indexed citations
9.
Wu, Lang, et al.. (2024). Prognostic‐Based Active Battery Degradation Management in Wireless Sensor Networks for Group Replacement. Quality and Reliability Engineering International. 41(3). 933–942. 1 indexed citations
10.
Karim, Md Monjurul, Kashif Sharif, Sujit Biswas, et al.. (2024). CIC-SIoT: Clean-Slate Information-Centric Software-Defined Content Discovery and Distribution for Internet of Things. IEEE Internet of Things Journal. 11(22). 37140–37153. 3 indexed citations
11.
Zhang, Yanan, et al.. (2024). Generating Multi‐Depth 3D Holograms Using a Fully Convolutional Neural Network. Advanced Science. 11(28). e2308886–e2308886. 14 indexed citations
12.
Song, Jie, Pengyi Zhang, Qiang Qu, et al.. (2023). Why blockchain needs graph: A survey on studies, scenarios, and solutions. Journal of Parallel and Distributed Computing. 180. 104730–104730. 8 indexed citations
13.
Qu, Qiang, et al.. (2023). Hydropower station scheduling with ship arrival prediction and energy storage. Scientific Reports. 13(1). 18969–18969. 5 indexed citations
14.
Liu, Yue, Qinghua Lu, Shiping Chen, et al.. (2020). Capability-based IoT access control using blockchain. Digital Communications and Networks. 7(4). 463–469. 41 indexed citations
15.
Yang, Min, et al.. (2020). Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Transactions on Neural Networks and Learning Systems. 32(1). 49–62. 26 indexed citations
16.
Yang, Min, Wenpeng Yin, Qiang Qu, et al.. (2019). Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Transactions on Affective Computing. 12(3). 761–775. 36 indexed citations
17.
Yang, Min, et al.. (2019). Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Systems with Applications. 136. 365–375. 24 indexed citations
18.
Yang, Min, et al.. (2018). Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing. 307. 91–97. 44 indexed citations
19.
Qu, Qiang, et al.. (2016). MicroRNA‐195‐5p suppresses osteosarcoma cell proliferation and invasion by suppressing naked cuticle homolog 1. Cell Biology International. 41(3). 287–295. 23 indexed citations
20.
Qu, Qiang. (2011). Multiple Circle Intersection-Based Celestial Positioning and Integrated Navigation Algorithm. Journal of Astronautics.

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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