Qinru Qiu

264 total papers · 6.2k total citations
177 papers, 3.9k citations indexed

About

Qinru Qiu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Qinru Qiu has authored 177 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Electrical and Electronic Engineering, 52 papers in Computer Networks and Communications and 46 papers in Artificial Intelligence. Recurrent topics in Qinru Qiu's work include Advanced Memory and Neural Computing (46 papers), Parallel Computing and Optimization Techniques (32 papers) and Low-power high-performance VLSI design (23 papers). Qinru Qiu is often cited by papers focused on Advanced Memory and Neural Computing (46 papers), Parallel Computing and Optimization Techniques (32 papers) and Low-power high-performance VLSI design (23 papers). Qinru Qiu collaborates with scholars based in United States, China and Mexico. Qinru Qiu's co-authors include Qing Wu, Massoud Pedram, Yanzhi Wang, Shaobo Liu, Zhe Li, Bo Yuan, Ying Tan, Caiwen Ding, Ao Ren and Yang Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Qinru Qiu

170 papers receiving 3.8k citations

Hit Papers

Reinforcement learning wi... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qinru Qiu 2.5k 1.2k 1.0k 954 478 177 3.9k
Yongpan Liu 4.6k 1.8× 1.2k 1.0× 1.5k 1.5× 781 0.8× 924 1.9× 319 6.1k
Saibal Mukhopadhyay 4.4k 1.7× 618 0.5× 1.6k 1.6× 899 0.9× 726 1.5× 350 5.6k
Sarma Vrudhula 5.0k 2.0× 1.3k 1.1× 2.3k 2.3× 677 0.7× 1.1k 2.3× 219 6.6k
Arijit Raychowdhury 4.9k 1.9× 554 0.5× 867 0.9× 1.0k 1.1× 378 0.8× 290 6.0k
Vijaykrishnan Narayanan 5.2k 2.1× 2.0k 1.7× 2.0k 1.9× 502 0.5× 431 0.9× 355 6.6k
Yichuang Sun 3.6k 1.4× 1.3k 1.1× 277 0.3× 843 0.9× 957 2.0× 261 5.9k
Muhammad Shafique 4.1k 1.6× 2.2k 1.8× 3.2k 3.1× 998 1.0× 1.2k 2.6× 446 7.2k
Davide Rossi 1.6k 0.6× 871 0.7× 1.0k 1.0× 535 0.6× 552 1.2× 202 2.9k
Jishen Zhao 2.2k 0.9× 1.3k 1.1× 1.4k 1.4× 777 0.8× 652 1.4× 89 3.5k
Kevin Fu 1.3k 0.5× 1.7k 1.4× 577 0.6× 1.3k 1.4× 336 0.7× 87 4.3k

Countries citing papers authored by Qinru Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Qinru Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinru Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Qinru Qiu. A scholar is included among the top collaborators of Qinru Qiu 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 Qinru Qiu. Qinru Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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