Nianyin Zeng

12.7k total citations · 6 hit papers
142 papers, 9.5k citations indexed

About

Nianyin Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Nianyin Zeng has authored 142 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 30 papers in Biomedical Engineering. Recurrent topics in Nianyin Zeng's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Neural Network Applications (11 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Nianyin Zeng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Neural Network Applications (11 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Nianyin Zeng collaborates with scholars based in China, United Kingdom and Saudi Arabia. Nianyin Zeng's co-authors include Zidong Wang, Weibo Liu, Xiaohui Liu, Fuad E. Alsaadi, Yurong Liu, Han Li, Peishu Wu, Yurong Li, Yang Lü and Shujuan Yi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Nianyin Zeng

137 papers receiving 9.2k citations

Hit Papers

5 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.

A survey of deep neural network architectures and their applications

2016 2.3k citations Zidong Wang, Xiaohui Liu et al. Neurocomputing profile →
Identification of rice diseases using deep convolutional neural networks

2017 723 citations Nianyin Zeng et al. Neurocomputing profile →
Facial expression recognition via learning deep sparse autoencoders

2017 398 citations Nianyin Zeng, Yurong Li et al. Neurocomputing profile →
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection

2022 373 citations Nianyin Zeng, Peishu Wu et al. profile →
A review on transfer learning in EEG signal analysis

2020 329 citations Nianyin Zeng, Xiaohui Liu et al. Neurocomputing profile →
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer

2019 263 citations Zidong Wang, Nianyin Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nianyin Zeng China	43	3.0k	2.6k	1.1k	980	824	142	9.5k
P. M. Durai Raj Vincent India	28	4.0k 1.3×	2.7k 1.1×	557 0.5×	646 0.7×	708 0.9×	92	10.0k
João Paulo Papa Brazil	46	2.8k 0.9×	1.7k 0.6×	491 0.5×	1.2k 1.2×	227 0.3×	287	7.8k
Marcin Woźniak Poland	48	2.1k 0.7×	2.1k 0.8×	413 0.4×	823 0.8×	525 0.6×	273	7.2k
Jianfei Cai Singapore	49	3.4k 1.1×	7.0k 2.7×	725 0.7×	1.3k 1.3×	316 0.4×	309	13.3k
Amjad J. Humaidi Iraq	31	1.6k 0.5×	1.4k 0.6×	1.4k 1.3×	879 0.9×	343 0.4×	177	7.4k
Abdulkadir Şengür Türkiye	52	2.6k 0.9×	1.6k 0.6×	377 0.4×	612 0.6×	274 0.3×	229	8.7k
Simon Osindero United Kingdom	13	5.0k 1.7×	4.3k 1.7×	1.0k 1.0×	1.1k 1.2×	160 0.2×	27	12.0k
Xiaojun Chang China	56	5.6k 1.8×	6.8k 2.6×	662 0.6×	740 0.8×	436 0.5×	290	12.7k
Yan Li China	47	3.3k 1.1×	1.5k 0.6×	458 0.4×	951 1.0×	321 0.4×	503	10.8k
Yee‐Whye Teh Singapore	7	4.7k 1.5×	4.0k 1.6×	1.0k 1.0×	1.1k 1.1×	157 0.2×	7	11.5k

Countries citing papers authored by Nianyin Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Nianyin Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianyin Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Nianyin Zeng. A scholar is included among the top collaborators of Nianyin Zeng 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 Nianyin Zeng. Nianyin Zeng 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:

20 of 20 papers shown

Li, Shengqiang, et al.. (2025). M-GENE: Multiview genes expression network ensemble for bone metabolism-related gene classification. Neurocomputing. 622. 129318–129318. 1 indexed citations

Zhang, Hongyi, et al.. (2025). SEDA-EEG: A semi-supervised emotion recognition network with domain adaptation for cross-subject EEG analysis. Neurocomputing. 622. 129315–129315. 10 indexed citations

Chen, Liang, et al.. (2025). MLF-DOU: A metric learning framework with dual one-class units for network intrusion detection. Neurocomputing. 649. 130754–130754. 1 indexed citations

Wu, Peishu, Wei Wen, Li Han, Zeyu Li, & Nianyin Zeng. (2025). AI-driven automation of aviation equipment inspection: Insights from a complex adaptive systems perspective. The Innovation. 7(1). 101084–101084. 1 indexed citations

Zhang, Hongyi, et al.. (2024). S3T-Net: A novel electroencephalogram signals-oriented emotion recognition model. Computers in Biology and Medicine. 179. 108808–108808. 3 indexed citations

Li, Han, et al.. (2024). A novel population robustness-based switching response framework for solving dynamic multi-objective problems. Neurocomputing. 583. 127601–127601. 9 indexed citations

Wang, Zidong, et al.. (2024). ℓ-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy. Knowledge-Based Systems. 288. 111466–111466. 32 indexed citations

Wang, Zidong, et al.. (2024). Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion. Computers in Biology and Medicine. 171. 108210–108210. 11 indexed citations

Wu, Peishu, et al.. (2024). Standard Curve Fitting of CCD Fluorescence Scanner Based on Neural Dynamics. IEEE Sensors Journal. 24(13). 21595–21603.

10.

Wu, Peishu, et al.. (2024). CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron. IEEE photonics journal. 16(4). 1–11.

11.

Wang, Zidong, Han Li, Peishu Wu, et al.. (2023). Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis. Computers in Biology and Medicine. 159. 106947–106947. 11 indexed citations

12.

Guo, Xiaoyue, Zidong Wang, Peishu Wu, et al.. (2023). ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information. Computers in Biology and Medicine. 169. 107879–107879. 11 indexed citations

13.

Chen, Tengpeng, Fangyan Liu, Lu Sun, G.A.J. Amaratunga, & Nianyin Zeng. (2023). Dynamic state estimation of power systems considering maximum correlation entropy and quadratic function. Measurement Science and Technology. 34(8). 85105–85105. 2 indexed citations

14.

Liu, Mei, et al.. (2022). Recurrent-Neural-Network-Based Polynomial Noise Resistance Model for Computing Dynamic Nonlinear Equations Applied to Robotics. IEEE Transactions on Cognitive and Developmental Systems. 15(2). 518–529. 6 indexed citations

15.

Li, Yurong, et al.. (2019). Prediction of Knee Joint Moment by Surface Electromyography of the Antagonistic and Agonistic Muscle Pairs. IEEE Access. 7. 82320–82328. 10 indexed citations

16.

Li, Yurong, et al.. (2019). Discrete Hand Motion Intention Decoding Based on Transient Myoelectric Signals. IEEE Access. 7. 81630–81639. 12 indexed citations

17.

Wang, Liansheng, Cong Xie, & Nianyin Zeng. (2019). RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging. IEEE Access. 7. 39670–39679. 30 indexed citations

18.

Huang, Chenxi, Yisha Lan, Sirui Chen, et al.. (2019). Patient‐Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. Complexity. 2019(1). 97 indexed citations

19.

Wang, Liansheng, et al.. (2019). Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation. IEEE Access. 7. 44676–44685. 21 indexed citations

20.

Zeng, Nianyin, et al.. (2011). Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering. IEEE Transactions on Biomedical Engineering. 58(7). 1959–1966. 44 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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