Qiang Ning

1.0k total citations · 1 hit paper
14 papers, 462 citations indexed

About

Qiang Ning is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Qiang Ning has authored 14 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 2 papers in Molecular Biology. Recurrent topics in Qiang Ning's work include Topic Modeling (3 papers), Chinese history and philosophy (3 papers) and Advanced Text Analysis Techniques (2 papers). Qiang Ning is often cited by papers focused on Topic Modeling (3 papers), Chinese history and philosophy (3 papers) and Advanced Text Analysis Techniques (2 papers). Qiang Ning collaborates with scholars based in China, United States and Germany. Qiang Ning's co-authors include Zhengliang Liu, Xiang Li, Yiheng Liu, Mengshen He, Lin Zhao, Hao He, Zihao Wu, Yuanyuan Yang, Bao Ge and Tianming Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Theoretical and Applied Genetics.

In The Last Decade

Qiang Ning

11 papers receiving 435 citations

Hit Papers

Summary of ChatGPT-Related research and perspective towar... 2023 2026 2024 2025 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Ning China 5 221 100 43 34 34 14 462
Tianle Han China 4 214 1.0× 104 1.0× 46 1.1× 31 0.9× 17 0.5× 6 441
Mengshen He China 4 218 1.0× 104 1.0× 54 1.3× 32 0.9× 17 0.5× 7 442
Konrad Wojtasik Poland 3 252 1.1× 118 1.2× 47 1.1× 31 0.9× 48 1.4× 3 442
Arkadiusz Janz Poland 7 297 1.3× 119 1.2× 46 1.1× 36 1.1× 16 0.5× 19 465
Jiaming Tian China 6 207 0.9× 100 1.0× 44 1.0× 30 0.9× 16 0.5× 21 484
Marcin Oleksy Poland 6 277 1.3× 118 1.2× 46 1.1× 33 1.0× 14 0.4× 19 456
Bartłomiej Koptyra Poland 3 246 1.1× 118 1.2× 46 1.1× 32 0.9× 15 0.4× 5 403
Łukasz Radliński Poland 2 243 1.1× 118 1.2× 46 1.1× 31 0.9× 14 0.4× 2 397
Mateusz Kochanek Poland 3 246 1.1× 122 1.2× 48 1.1× 31 0.9× 14 0.4× 3 404
Oliwier Kaszyca Poland 3 246 1.1× 122 1.2× 48 1.1× 31 0.9× 14 0.4× 3 404

Countries citing papers authored by Qiang Ning

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ning

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

All Works

14 of 14 papers shown
1.
Ning, Qiang, Derong Gao, Yuanfeng Hao, et al.. (2025). Identification of a stable genetic locus and candidate genes for Fusarium head blight resistance on wheat chromosome 3BL. Theoretical and Applied Genetics. 138(8). 185–185.
2.
Kordjamshidi, Parisa, et al.. (2024). Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding. Lirias (KU Leuven). 39–46.
4.
Liu, Yiheng, Tianle Han, Yuanyuan Yang, et al.. (2023). Summary of ChatGPT-Related research and perspective towards the future of large language models. SHILAP Revista de lepidopterología. 1(2). 100017–100017. 408 indexed citations breakdown →
5.
Ning, Qiang, Ben Zhou, Hao Wu, et al.. (2022). A Meta-framework for Spatiotemporal Quantity Extraction from Text. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4 indexed citations
6.
Ning, Qiang, et al.. (2022). Extracting Temporal Event Relation with Syntax-guided Graph Transformer. 6 indexed citations
7.
8.
He, Hangfeng, Mingyuan Zhang, Qiang Ning, & Dan Roth. (2021). Foreseeing the Benefits of Incidental Supervision. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1782–1800. 4 indexed citations
9.
Ning, Qiang. (2017). Art, Religion, and Politics in Medieval China. University of Hawaii Press eBooks. 3 indexed citations
10.
Sandberg, Eric M., Pu Liu, Qiang Ning, et al.. (2016). Development and analytical validation of a flexible multiplexing platform for cytokine assays.. The Journal of Immunology. 196(1_Supplement). 138.11–138.11. 1 indexed citations
11.
Chen, Bin, et al.. (2012). TRANSIENT RESISTANCE ANALYSIS OF LARGE GROUNDING SYSTEMS USING THE FDTD METHOD. Electromagnetic waves. 132. 159–175. 16 indexed citations
13.
Ning, Qiang. (2003). Gender politics in medieval Chinese buddhist art: Images of empress Wu at Longmen and Dunhuang. 49(2). 28–39. 1 indexed citations

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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