Qiang Ni

51 total papers · 460 total citations
21 papers, 248 citations indexed

About

Qiang Ni is a scholar working on Organic Chemistry, Materials Chemistry and Catalysis. According to data from OpenAlex, Qiang Ni has authored 21 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Materials Chemistry and 3 papers in Catalysis. Recurrent topics in Qiang Ni's work include Catalysis and Oxidation Reactions (3 papers), Catalytic Processes in Materials Science (3 papers) and Catalytic C–H Functionalization Methods (3 papers). Qiang Ni is often cited by papers focused on Catalysis and Oxidation Reactions (3 papers), Catalytic Processes in Materials Science (3 papers) and Catalytic C–H Functionalization Methods (3 papers). Qiang Ni collaborates with scholars based in China, United Kingdom and Egypt. Qiang Ni's co-authors include Haris Pervaiz, Nada M. Elshennawy, Richard Jiang, Wenjie Ruan, Leandro Soriano Marcolino, Mingqi Gao, Jungong Han, Qian Zhang, Adarsh Kumar and Lu Xiao and has published in prestigious journals such as Chemical Engineering Journal, The Journal of Organic Chemistry and IEEE Access.

In The Last Decade

Qiang Ni

15 papers receiving 241 citations

Hit Papers

A deep learning architect... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
    2022 125 citations Qiang Ni, Richard Jiang et al. Alexandria Engineering Journal profile →

Author Peers

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

Author Last Decade Papers Cites
Qiang Ni 111 54 51 32 21 21 248
Jaspreet Kaur 74 0.7× 11 0.2× 21 0.4× 36 1.1× 31 1.5× 24 191
Yizhen Wang 51 0.5× 58 1.1× 57 1.1× 12 0.4× 30 226
Changjian Sun 164 1.5× 19 0.4× 115 2.3× 129 4.0× 2 0.1× 17 319
Hugues Benoit-Cattin 159 1.4× 18 0.3× 34 0.7× 116 3.6× 18 328
Eduardo Costa da Silva 53 0.5× 7 0.1× 98 1.9× 16 0.5× 2 0.1× 30 262
P. Felkel 52 0.5× 38 0.7× 14 0.3× 150 4.7× 7 0.3× 12 279
H. Wei 14 0.1× 11 0.2× 52 1.0× 13 0.4× 3 0.1× 30 202
Yiqun Sun 15 0.1× 6 0.1× 22 0.4× 18 0.6× 8 0.4× 27 235
Zhenrong Shen 73 0.7× 20 0.4× 59 1.2× 88 2.8× 19 213
S. Jeeva 40 0.4× 5 0.1× 107 2.1× 148 4.6× 28 1.3× 24 308

Countries citing papers authored by Qiang Ni

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Ni. A scholar is included among the top collaborators of Qiang Ni 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 Ni. Qiang Ni 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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2026