Ning Qiang

2.0k total citations
62 papers, 901 citations indexed

About

Ning Qiang is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ning Qiang has authored 62 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 14 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ning Qiang's work include Functional Brain Connectivity Studies (19 papers), Natural Language Processing Techniques (12 papers) and Neural dynamics and brain function (10 papers). Ning Qiang is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Natural Language Processing Techniques (12 papers) and Neural dynamics and brain function (10 papers). Ning Qiang collaborates with scholars based in China, United States and Australia. Ning Qiang's co-authors include Dan Roth, Ben Zhou, Hao Wu, Nanyun Peng, Rujun Han, Daniel Khashabi, Hongtao Liang, Qinglin Dong, Tianming Liu and Bao Ge and has published in prestigious journals such as NeuroImage, Chemosphere and Cerebral Cortex.

In The Last Decade

Ning Qiang

57 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Qiang China	18	509	187	142	120	45	62	901
Guixiang Ma United States	16	330 0.6×	85 0.5×	123 0.9×	62 0.5×	20 0.4×	35	551
Xueping Peng China	13	229 0.4×	115 0.6×	62 0.4×	25 0.2×	24 0.5×	58	491
Mikio L. Braun Germany	9	314 0.6×	95 0.5×	130 0.9×	29 0.2×	95 2.1×	16	597
R Devon Hjelm United States	8	308 0.6×	94 0.5×	193 1.4×	63 0.5×	29 0.6×	14	484
Xiangguo Zhao China	13	335 0.7×	38 0.2×	75 0.5×	17 0.1×	39 0.9×	45	572
Md. Sazzadur Rahman Bangladesh	17	227 0.4×	67 0.4×	63 0.4×	41 0.3×	96 2.1×	42	707
Mahdieh Soleymani Baghshah Iran	15	423 0.8×	23 0.1×	323 2.3×	59 0.5×	55 1.2×	52	676
P. Vijaya India	13	182 0.4×	73 0.4×	258 1.8×	15 0.1×	77 1.7×	78	649
Hye-Kyoung Lee South Korea	7	106 0.2×	186 1.0×	144 1.0×	108 0.9×	68 1.5×	14	604
Xintao Ding China	12	81 0.2×	59 0.3×	70 0.5×	44 0.4×	31 0.7×	35	339

Countries citing papers authored by Ning Qiang

Since Specialization

Citations

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

Fields of papers citing papers by Ning Qiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Qiang

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

All Works

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20 of 20 papers shown

Ge, Bao, et al.. (2025). 3D masked autoencoder with spatiotemporal transformer for modeling of 4D fMRI data. Medical Image Analysis. 107(Pt B). 103861–103861.

Jiang, Xi, et al.. (2024). Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. 59–63.

Liu, Yiheng, Mengshen He, Zhengliang Liu, et al.. (2024). Mapping dynamic spatial patterns of brain function with spatial-wise attention. Journal of Neural Engineering. 21(2). 26005–26005. 2 indexed citations

He, Mengshen, Shu Zhang, Ning Qiang, et al.. (2023). Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism. Cerebral Cortex. 33(13). 8405–8420. 5 indexed citations

Zhao, Shijie, et al.. (2023). End-to-End Prediction of EGFR Mutation Status With Denseformer. IEEE Journal of Biomedical and Health Informatics. 28(1). 54–65. 2 indexed citations

Liu, Tao, et al.. (2023). Diffusion, Separation, and Buffering of Non-Steady-State VOCs Flow on Activated Carbon. Separations. 10(11). 571–571. 1 indexed citations

Qiang, Ning, et al.. (2023). Mechanism of Separation of Contaminants from Activated Carbon by Closed Cycle Temperature Swing Desorption. Separations. 10(3). 213–213. 2 indexed citations

Yin, Wenpeng, Muhao Chen, Ben Zhou, et al.. (2023). Indirectly Supervised Natural Language Processing. 32–40. 1 indexed citations

Zhang, Shu, et al.. (2022). An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7339–7350. 9 indexed citations

10.

Qiang, Ning, Qinglin Dong, Jie Gao, et al.. (2022). A Deep Learning Method for Autism Spectrum Disorder Identification Based on Interactions of Hierarchical Brain Networks. SSRN Electronic Journal. 2 indexed citations

11.

Qiang, Ning, Qinglin Dong, Hongtao Liang, et al.. (2021). Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder. Journal of Neural Engineering. 18(4). 0460b6–0460b6. 24 indexed citations

12.

Liang, Hongtao, et al.. (2020). A Behavior-Driven Coordination Control Framework for Target Hunting by UUV Intelligent Swarm. IEEE Access. 8. 4838–4859. 25 indexed citations

13.

Qiang, Ning, Qinglin Dong, Fangfei Ge, et al.. (2020). Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Transactions on Cognitive and Developmental Systems. 13(4). 841–852. 24 indexed citations

14.

Qiang, Ning, Qinglin Dong, Wei Zhang, et al.. (2020). Modeling task-based fMRI data via deep belief network with neural architecture search. Computerized Medical Imaging and Graphics. 83. 101747–101747. 29 indexed citations

15.

Dong, Qinglin, Fangfei Ge, Ning Qiang, et al.. (2019). Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Transactions on Biomedical Engineering. 67(6). 1739–1748. 31 indexed citations

16.

Qiang, Ning, Zhongzhi Yu, Chuchu Fan, & Dan Roth. (2018). Exploiting Partially Annotated Data in Temporal Relation Extraction. 148–153. 6 indexed citations

17.

Qiang, Ning, Hao Wu, & Dan Roth. (2018). A Multi-Axis Annotation Scheme for Event Temporal Relations. 1318–1328. 84 indexed citations

18.

Li, Wei, et al.. (2011). Determination of Microcystin-LR in Drinking Water Using UPLC Tandem Mass Spectrometry-Matrix Effects and Measurement. Journal of Chromatographic Science. 49(9). 665–670. 17 indexed citations

19.

Qiang, Ning. (2007). Recovery of Volatile Organic Compounds by Activated Carbon Adsorption Process. Sichuan Environment. 1 indexed citations

20.

Dong, Lei, et al.. (2007). Gas-heat-electricity triple cogeneration technology for gasification of Spartina.. Nongye gongcheng xuebao. 23(8). 222–226. 4 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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