Haidong Qu

29 total papers · 403 total citations
24 papers, 315 citations indexed

About

Haidong Qu is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Haidong Qu has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Modeling and Simulation, 14 papers in Numerical Analysis and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Haidong Qu's work include Fractional Differential Equations Solutions (20 papers), Iterative Methods for Nonlinear Equations (8 papers) and Nonlinear Differential Equations Analysis (6 papers). Haidong Qu is often cited by papers focused on Fractional Differential Equations Solutions (20 papers), Iterative Methods for Nonlinear Equations (8 papers) and Nonlinear Differential Equations Analysis (6 papers). Haidong Qu collaborates with scholars based in China, Pakistan and Türkiye. Haidong Qu's co-authors include Xuan Liu, Mati ur Rahman, Muhammad Arfan, Ali Ahmadian, Soheil Salahshour, Adnan Abbasi, Shabir Ahmad, Mehdi Salimi, Lei Zhang and Sayed Saifullah and has published in prestigious journals such as IEEE Access, Neurocomputing and Chaos Solitons & Fractals.

In The Last Decade

Haidong Qu

24 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Haidong Qu 245 88 86 60 59 24 315
Leila Torkzadeh 167 0.7× 55 0.6× 110 1.3× 40 0.7× 53 0.9× 37 312
Surath Ghosh 287 1.2× 116 1.3× 120 1.4× 74 1.2× 79 1.3× 17 354
Asad Freihat 276 1.1× 92 1.0× 128 1.5× 46 0.8× 89 1.5× 16 319
Rubens de Figueiredo Camargo 261 1.1× 76 0.9× 108 1.3× 52 0.9× 113 1.9× 29 340
J. Tórres-Jiménez 230 0.9× 97 1.1× 111 1.3× 38 0.6× 64 1.1× 27 337
Manal Alqhtani 273 1.1× 114 1.3× 82 1.0× 103 1.7× 79 1.3× 21 358
Yanqin Liu 211 0.9× 127 1.4× 123 1.4× 25 0.4× 28 0.5× 29 323
R.P. Chauhan 240 1.0× 61 0.7× 56 0.7× 121 2.0× 50 0.8× 25 316
Suares Clovis Oukouomi Noutchie 233 1.0× 69 0.8× 104 1.2× 102 1.7× 70 1.2× 36 353
Aamir Shehzad 242 1.0× 55 0.6× 35 0.4× 144 2.4× 44 0.7× 18 334

Countries citing papers authored by Haidong Qu

Since Specialization
Citations

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

Fields of papers citing papers by Haidong Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haidong Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Haidong Qu. A scholar is included among the top collaborators of Haidong 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 Haidong Qu. Haidong Qu 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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