Na Deng

522 total citations
41 papers, 349 citations indexed

About

Na Deng is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Na Deng has authored 41 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Industrial and Manufacturing Engineering, 24 papers in Computer Vision and Pattern Recognition and 14 papers in Media Technology. Recurrent topics in Na Deng's work include Industrial Vision Systems and Defect Detection (28 papers), Textile materials and evaluations (13 papers) and Image Enhancement Techniques (10 papers). Na Deng is often cited by papers focused on Industrial Vision Systems and Defect Detection (28 papers), Textile materials and evaluations (13 papers) and Image Enhancement Techniques (10 papers). Na Deng collaborates with scholars based in China and Hong Kong. Na Deng's co-authors include Binjie Xin, Wenyu Xing, Zhengye Zhang, Binjie Xin, Yiliang Wang, Yiwen Liu, Jiaping Li, Yang Chen, Yang Chen and Yan He and has published in prestigious journals such as IEEE Access, Measurement and Journal of Microscopy.

In The Last Decade

Na Deng

37 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Deng China	13	201	138	134	54	36	41	349
Soo Chang Kim South Korea	7	158 0.8×	141 1.0×	105 0.8×	80 1.5×	11 0.3×	11	313
Zhenxia Ke China	6	136 0.7×	125 0.9×	20 0.1×	60 1.1×	4 0.1×	8	266
Shih-Chieh Wu Taiwan	6	222 1.1×	119 0.9×	22 0.2×	56 1.0×	1 0.0×	14	400
Jennifer L. Braid United States	12	102 0.5×	55 0.4×	16 0.1×	17 0.3×	3 0.1×	64	511
Zhiwei Ỹe China	13	24 0.1×	27 0.2×	62 0.5×	17 0.3×	2 0.1×	33	399
Wenqi Wang China	8	5 0.0×	76 0.6×	18 0.1×	14 0.3×	4 0.1×	30	291
Iván R. Terol‐Villalobos Mexico	11	16 0.1×	165 1.2×	7 0.1×	87 1.6×	2 0.1×	37	346
Minghao Li China	10	13 0.1×	50 0.4×	30 0.2×	9 0.2×	5 0.1×	39	322
Xiaonan Wang China	7	74 0.4×	56 0.4×	28 0.2×	9 0.2×	1 0.0×	16	185
Jiacheng Xie China	7	49 0.2×	107 0.8×	3 0.0×	27 0.5×	3 0.1×	24	308

Countries citing papers authored by Na Deng

Since Specialization

Citations

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

Fields of papers citing papers by Na Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Na Deng. A scholar is included among the top collaborators of Na Deng 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 Na Deng. Na Deng 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

Zhang, Nan, et al.. (2024). Intelligent secure near-field communication. Science China Information Sciences. 67(9).

Xin, Binjie, et al.. (2023). Fabric defect detection using cartoon–texture image decomposition model and visual saliency method. Textile Research Journal. 93(19-20). 4406–4418. 4 indexed citations

Zhao, Cong & Na Deng. (2023). An actor-critic framework based on deep reinforcement learning for addressing flexible job shop scheduling problems. Mathematical Biosciences & Engineering. 21(1). 1445–1471. 5 indexed citations

Xin, Binjie, et al.. (2022). Semantic Segmentation Using DeepLabv3+ Model for Fabric Defect Detection. Wuhan University Journal of Natural Sciences. 27(6). 539–549. 5 indexed citations

Deng, Na, et al.. (2022). Recognition and analysis of fabric texture by double-sided fusion of transmission and reflection images under compound light source. Journal of the Textile Institute. 114(11). 1634–1646. 2 indexed citations

He, Yan, Na Deng, Binjie Xin, & Lulu Liu. (2022). 3D visualization modeling of nonwoven fabrics from multi-focus images. Journal of the Textile Institute. 114(3). 388–397. 1 indexed citations

Deng, Na, et al.. (2021). A novel objective wrinkle evaluation method for printed fabrics based on multi-view stereo algorithm. Journal of the Textile Institute. 113(3). 367–377. 3 indexed citations

He, Yan, Na Deng, Binjie Xin, & Lulu Liu. (2021). 3D microstructure reconstruction of nonwoven fabrics based on depth from focus. Micron. 144. 103035–103035. 12 indexed citations

Xin, Binjie, et al.. (2021). Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network. Journal of Natural Fibers. 19(13). 6715–6726. 9 indexed citations

10.

Deng, Na, et al.. (2021). Investigation on Image-Based Digital Method for Identification on Polyester/Cotton Fiber Category. Fibers and Polymers. 22(6). 1774–1783. 3 indexed citations

11.

Deng, Na, et al.. (2020). Objective evaluation of fabric pilling based on multi-view stereo vision. Journal of the Textile Institute. 112(12). 1986–1997. 9 indexed citations

12.

Wang, Yiliang, Na Deng, & Binjie Xin. (2020). Investigation of 3D surface profile reconstruction technology for automatic evaluation of fabric smoothness appearance. Measurement. 166. 108264–108264. 18 indexed citations

13.

Wang, Yiliang, et al.. (2020). A novel three-dimensional surface reconstruction method for the complex fabrics based on the MVS. Optics & Laser Technology. 131. 106415–106415. 10 indexed citations

14.

Deng, Na, et al.. (2019). Research on texture image inpainting of jacquard fabric based on non-single vision. Textile Research Journal. 90(13-14). 1462–1476. 3 indexed citations

15.

Chen, Yang, et al.. (2019). Nonwovens structure measurement based on NSST multi-focus image fusion. Micron. 123. 102684–102684. 13 indexed citations

16.

Xing, Wenyu, et al.. (2019). Automatic identification of cashmere and wool fibers based on the morphological features analysis. Micron. 128. 102768–102768. 29 indexed citations

17.

Yang, Chen, et al.. (2019). Structural characterization and measurement of nonwoven fabrics based on multi-focus image fusion. Measurement. 141. 356–363. 17 indexed citations

18.

Zhang, Zhengye, Binjie Xin, Na Deng, Wenyu Xing, & Yang Chen. (2019). An investigation of ramie fiber cross-section image analysis methodology based on edge-enhanced image fusion. Measurement. 145. 436–443. 5 indexed citations

19.

Xing, Wenyu, Na Deng, Binjie Xin, Yang Chen, & Zhengye Zhang. (2019). Investigation of a novel automatic micro image-based method for the recognition of animal fibers based on Wavelet and Markov Random Field. Micron. 119. 88–97. 20 indexed citations

20.

Chen, Yang, Na Deng, Binjie Xin, Wenyu Xing, & Zhengye Zhang. (2018). A novel multi-focus image fusion method of nonwovens based on GHM multiwavelet transform technology. Textile Research Journal. 89(14). 2870–2879. 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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