Wei Nie

714 total citations · 1 hit paper
10 papers, 439 citations indexed

About

Wei Nie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology. According to data from OpenAlex, Wei Nie has authored 10 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Molecular Biology. Recurrent topics in Wei Nie's work include Biometric Identification and Security (4 papers), Computational Drug Discovery Methods (2 papers) and Face and Expression Recognition (2 papers). Wei Nie is often cited by papers focused on Biometric Identification and Security (4 papers), Computational Drug Discovery Methods (2 papers) and Face and Expression Recognition (2 papers). Wei Nie collaborates with scholars based in Macao and China. Wei Nie's co-authors include Li Han, Jie Liu, Zhihai Liu, Renxiao Wang, Yan Li, Jie Li, Yuchen Liu, Zhixiong Zhao, Bob Zhang and Shuping Zhao and has published in prestigious journals such as Bioinformatics, Applied Sciences and Frontiers in Endocrinology.

In The Last Decade

Wei Nie

8 papers receiving 435 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PDB-wide collection of binding data: current status of the PDBbind database

2014 394 citations Zhihai Liu, Yan Li et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Nie Macao	5	332	315	103	57	23	10	439
Nikolas Fechner Germany	11	218 0.7×	292 0.9×	115 1.1×	57 1.0×	26 1.1×	21	404
Jadson Castro Gertrudes Brazil	8	176 0.5×	213 0.7×	48 0.5×	18 0.3×	39 1.7×	14	344
Weihe Zhong China	12	447 1.3×	485 1.5×	224 2.2×	40 0.7×	14 0.6×	17	655
Vladimir Chupakhin Russia	12	319 1.0×	301 1.0×	97 0.9×	61 1.1×	84 3.7×	21	529
Saisai Sun China	9	370 1.1×	292 0.9×	176 1.7×	36 0.6×	26 1.1×	14	500
Jian Yin China	6	426 1.3×	379 1.2×	78 0.8×	35 0.6×	25 1.1×	16	600
Hang Le France	3	525 1.6×	551 1.7×	197 1.9×	49 0.9×	26 1.1×	7	697
Khanh Tang United States	4	463 1.4×	484 1.5×	177 1.7×	85 1.5×	84 3.7×	6	756
Haochen Zhao China	9	211 0.6×	255 0.8×	72 0.7×	19 0.3×	11 0.5×	28	371
Andrew T. McNutt United States	6	312 0.9×	268 0.9×	113 1.1×	41 0.7×	48 2.1×	7	476

Countries citing papers authored by Wei Nie

Since Specialization

Citations

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

Fields of papers citing papers by Wei Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Nie

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Hu, Jianhua, et al.. (2025). Suppressing Speckle Noise in Ultrasound Images Through Multi-scale Structural Information Distillation. 62–66.

2.

Nie, Wei, et al.. (2024). A prognostic model for thermal ablation of benign thyroid nodules based on interpretable machine learning. Frontiers in Endocrinology. 15. 1433192–1433192. 3 indexed citations

3.

Nie, Wei, et al.. (2024). Design of a Fatigue Driving Warning System Utilizing Brain-Computer Interface (BCI) Technology. 190–193.

4.

Nie, Wei, Bob Zhang, & Shuping Zhao. (2019). Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance. Applied Sciences. 9(19). 4178–4178. 8 indexed citations

5.

Nie, Wei & Bob Zhang. (2019). Robust and adaptive ROI extraction for hyperspectral dorsal hand vein images. IET Computer Vision. 13(6). 595–604. 7 indexed citations

6.

Nie, Wei, Bob Zhang, & Shuping Zhao. (2019). A Novel Hyperspectral Based Dorsal Hand Recognition System. 30. 362–367. 2 indexed citations

7.

Zhao, Shuping, Wei Nie, & Bob Zhang. (2018). Multi-Feature Fusion Using Collaborative Residual for Hyperspectral Palmprint Recognition. 1402–1406. 2 indexed citations

8.

Zhang, Bob, Wei Nie, & Shuping Zhao. (2018). A novel Color Rendition Chart for digital tongue image calibration. Color Research & Application. 43(5). 749–759. 13 indexed citations

9.

Liu, Zhihai, Jie Li, Jie Liu, et al.. (2015). Cross‐Mapping of Protein – Ligand Binding Data Between ChEMBL and PDBbind. Molecular Informatics. 34(8). 568–576. 10 indexed citations

10.

Liu, Zhihai, Yan Li, Li Han, et al.. (2014). PDB-wide collection of binding data: current status of the PDBbind database. Bioinformatics. 31(3). 405–412. 394 indexed citations breakdown →

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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