Neal Mazur

1.9k total citations · 2 hit papers
25 papers, 1.4k citations indexed

About

Neal Mazur is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Neal Mazur has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Neal Mazur's work include Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). Neal Mazur is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). Neal Mazur collaborates with scholars based in United States, China and Canada. Neal Mazur's co-authors include Guanqiu Qi, Zhiqin Zhu, Yi Chai, Xinghua Huang, Gang Hu, Yiyao An, Yuanyuan Li, Hongyan Wei, Robert F. Cromp and Baisen Cong and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Neal Mazur

23 papers receiving 1.3k citations

Hit Papers

A review of the application of deep learning in intellige... 2022 2026 2023 2024 2022 2024 100 200 300
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.

  1. A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
    2022 386 citations Zhiqin Zhu, Guanqiu Qi et al. profile →
  2. Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction
    2024 93 citations Zhiqin Zhu, Ziyu Wang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neal Mazur United States 17 554 406 242 185 169 25 1.4k
Payman Moallem Iran 20 455 0.8× 138 0.3× 258 1.1× 39 0.2× 218 1.3× 112 1.6k
Jaya Sil India 16 270 0.5× 83 0.2× 64 0.3× 77 0.4× 327 1.9× 101 1.1k
Raúl Ordóñez United States 22 228 0.4× 1.5k 3.7× 44 0.2× 246 1.3× 362 2.1× 105 2.1k
Changming Zhu China 15 358 0.6× 95 0.2× 54 0.2× 56 0.3× 333 2.0× 94 745
Vikas Singh India 12 246 0.4× 163 0.4× 59 0.2× 80 0.4× 165 1.0× 48 714
Mansoor Zolghadri Jahromi Iran 19 261 0.5× 352 0.9× 38 0.2× 80 0.4× 734 4.3× 80 1.6k
Yinggan Tang China 22 216 0.4× 881 2.2× 57 0.2× 129 0.7× 503 3.0× 92 1.7k
Fan Zhao China 17 479 0.9× 32 0.1× 90 0.4× 73 0.4× 233 1.4× 74 1.2k
Fuming Sun China 19 721 1.3× 74 0.2× 190 0.8× 80 0.4× 276 1.6× 109 1.2k

Countries citing papers authored by Neal Mazur

Since Specialization
Citations

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

Fields of papers citing papers by Neal Mazur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Mazur

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

All Works

20 of 20 papers shown
1.
Zhu, Zhiqin, et al.. (2024). Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction. Pattern Recognition. 153. 110553–110553. 93 indexed citations breakdown →
2.
Zhu, Zhiqin, Xin Zheng, Guanqiu Qi, et al.. (2023). Drug–target affinity prediction method based on multi-scale information interaction and graph optimization. Computers in Biology and Medicine. 167. 107621–107621. 57 indexed citations
3.
Zhu, Zhiqin, et al.. (2023). Associative learning mechanism for drug‐target interaction prediction. CAAI Transactions on Intelligence Technology. 8(4). 1558–1577. 48 indexed citations
4.
Qi, Guanqiu, et al.. (2022). Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion. Remote Sensing. 14(2). 420–420. 101 indexed citations
5.
6.
Qi, Guanqiu, et al.. (2021). A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation. Computers. 10(10). 129–129. 10 indexed citations
7.
8.
Zhu, Zhiqin, Hongyan Wei, Yong Li, et al.. (2021). Atmospheric Light Estimation Based Remote Sensing Image Dehazing. Remote Sensing. 13(13). 2432–2432. 65 indexed citations
9.
Zhu, Zhiqin, et al.. (2021). Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution. Remote Sensing. 13(16). 3104–3104. 58 indexed citations
10.
Qi, Guanqiu, et al.. (2021). EXAM: A Framework of Learning Extreme and Moderate Embeddings for Person Re-ID. Journal of Imaging. 7(1). 6–6. 10 indexed citations
11.
Zhu, Zhiqin, et al.. (2021). Power system structure optimization based on reinforcement learning and sparse constraints under DoS attacks in cloud environments. Simulation Modelling Practice and Theory. 110. 102272–102272. 11 indexed citations
12.
13.
Sun, Jian, Guanqiu Qi, Neal Mazur, & Zhiqin Zhu. (2021). Structural Scheduling of Transient Control Under Energy Storage Systems by Sparse-Promoting Reinforcement Learning. IEEE Transactions on Industrial Informatics. 18(2). 744–756. 26 indexed citations
14.
Zhu, Zhiqin, et al.. (2021). Camera style transformation with preserved self-similarity and domain-dissimilarity in unsupervised person re-identification. Journal of Visual Communication and Image Representation. 80. 103303–103303. 17 indexed citations
15.
Zhu, Zhiqin, Hongyan Wei, Gang Hu, et al.. (2020). A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion. IEEE Transactions on Instrumentation and Measurement. 70. 1–23. 188 indexed citations
16.
Qi, Guanqiu, et al.. (2020). A residual neural network based method for the classification of tobacco cultivation regions using near-infrared spectroscopy sensors. Infrared Physics & Technology. 111. 103494–103494. 32 indexed citations
17.
Mazur, Neal, et al.. (2018). Service learning in computing: creating computer science pipeline by attracting and engaging high school students. Journal of computing sciences in colleges. 33(6). 173–175. 2 indexed citations
18.
Mazur, Neal, et al.. (2017). Computer science for all in Western New York: building a community of practice. Journal of computing sciences in colleges. 32(6). 198–199.
19.
Mazur, Neal, et al.. (2000). An improved robot simulation for teaching programming concepts. Journal of computing sciences in colleges. 15(5). 238–246. 1 indexed citations
20.
Findler, Nicholas V., et al.. (1982). A note on computing the asymptotic form of a limited sequence of decision trees. Information Sciences. 28(3). 207–231. 2 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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