Na Wu

1.4k total citations
37 papers, 993 citations indexed

About

Na Wu is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Na Wu has authored 37 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Analytical Chemistry, 13 papers in Plant Science and 8 papers in Biomedical Engineering. Recurrent topics in Na Wu's work include Spectroscopy and Chemometric Analyses (14 papers), Smart Agriculture and AI (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Na Wu is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Smart Agriculture and AI (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Na Wu collaborates with scholars based in China, Macao and Russia. Na Wu's co-authors include Yong He, Chunjie Wu, Chu Zhang, Wei Peng, Yujie Liu, Xiao-Yan He, Tao Sun, Yongxiang Gao, Fei Liu and Yidan Bao and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and Frontiers in Immunology.

In The Last Decade

Na Wu

33 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Wu China	18	393	369	203	151	121	37	993
Bangxing Han China	12	101 0.3×	206 0.6×	333 1.6×	45 0.3×	49 0.4×	64	739
Zhenjiao Du United States	18	138 0.4×	167 0.5×	405 2.0×	65 0.4×	38 0.3×	28	892
Jinyu Zhang China	18	386 1.0×	263 0.7×	314 1.5×	118 0.8×	80 0.7×	54	971
Anastasios Koidis United Kingdom	28	627 1.6×	358 1.0×	525 2.6×	448 3.0×	137 1.1×	87	2.2k
Hina Ali Pakistan	19	418 1.1×	258 0.7×	205 1.0×	158 1.0×	261 2.2×	54	946
Tiegui Nan China	19	221 0.6×	350 0.9×	528 2.6×	135 0.9×	53 0.4×	83	1.1k
Fady Mohareb United Kingdom	20	364 0.9×	255 0.7×	459 2.3×	369 2.4×	61 0.5×	51	1.2k
Lalit Mohan Kandpal South Korea	16	778 2.0×	384 1.0×	120 0.6×	235 1.6×	327 2.7×	26	964
Maria Brígida dos Santos Scholz Brazil	26	278 0.7×	626 1.7×	175 0.9×	284 1.9×	45 0.4×	92	1.8k
Jongguk Lim South Korea	18	586 1.5×	254 0.7×	420 2.1×	473 3.1×	162 1.3×	57	1.1k

Countries citing papers authored by Na Wu

Since Specialization

Citations

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

Fields of papers citing papers by Na Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Wu

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

Chen, Yijia, Xing Xu, Na Wu, et al.. (2025). Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting. Frontiers in Plant Science. 16. 1618214–1618214. 1 indexed citations

Wu, Na, et al.. (2025). High-affinity poly-cytosine DNA modulated metal-organic framework-DNA interactions and their application in detection of hepatocellular carcinoma biomarker. Talanta. 296. 128496–128496. 1 indexed citations

Wu, Na, et al.. (2025). Blocking Tim-3 enhances CD8 ⁺ T cell activity to inhibit hepatocellular carcinoma recurrence post-radiofrequency ablation. International Journal of Hyperthermia. 42(1). 2516502–2516502.

Wu, Na, et al.. (2024). Rapid and accurate identification of bakanae pathogens carried by rice seeds based on hyperspectral imaging and deep transfer learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 311. 123889–123889. 11 indexed citations

Wu, Na, et al.. (2024). Investigating the shared genetic basis of inflammatory bowel disease and systemic lupus erythematosus using genetic overlap analysis. BMC Genomics. 25(1). 868–868. 2 indexed citations

Ma, Xiaoyan, et al.. (2024). Current research and future prospects of immunonutrition in gastrointestinal malignancies. Frontiers in Immunology. 15. 1420415–1420415. 2 indexed citations

Lu, Chang, Shiyi Liao, Baode Chen, et al.. (2024). Responsive probes for in vivo magnetic resonance imaging of nitric oxide. Nature Materials. 24(1). 133–142. 22 indexed citations

Wu, Na, et al.. (2024). Local therapy combined with anti-PD-1 immunotherapy for advanced lung adenocarcinoma: A case report. Journal of Cancer Research and Therapeutics. 20(2). 739–744.

Zhao, Yun, et al.. (2024). APEIOU Integration for Enhanced YOLOV7: Achieving Efficient Plant Disease Detection. Agriculture. 14(6). 820–820. 3 indexed citations

10.

Feng, Zufei, Qian Yang, Yangfan Hu, et al.. (2023). Origin Identification of Astragalus membranaceus Based on ElectrochemicalOscillating Fingerprint. Current Analytical Chemistry. 19(8). 595–604.

11.

Lu, Chang, et al.. (2023). Tumor microenvironment-tailored nanoplatform for companion diagnostic applications of precise cancer therapy. Chem. 9(11). 3185–3211. 40 indexed citations

12.

Xiao, Qinlin, Chu Zhang, Lei Zhou, et al.. (2022). Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves. Plant Phenomics. 2022. 9813841–9813841. 52 indexed citations

13.

Xiao, Qinlin, Na Wu, Chu Zhang, et al.. (2022). Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves. Frontiers in Plant Science. 13. 1080745–1080745. 11 indexed citations

14.

Qiu, Ruicheng, et al.. (2022). Development and comparison of classification models on VIS-NIR hyperspectral imaging spectra for qualitative detection of the Staphylococcus aureus in fresh chicken breast. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 285. 121838–121838. 26 indexed citations

15.

Zhang, Chu, Lei Zhou, Qinlin Xiao, et al.. (2022). End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses. Plant Phenomics. 2022. 9851096–9851096. 29 indexed citations

16.

Wu, Na, et al.. (2021). Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning. Frontiers in Bioengineering and Biotechnology. 9. 696292–696292. 25 indexed citations

17.

Wu, Na, et al.. (2021). [Effect of Huangqin Decoction on pyroptosis pathway of NLRP3/caspase-1 in mice with ulcerative colitis].. PubMed. 46(5). 1191–1196. 6 indexed citations

18.

Wu, Na, Yu Zhang, Risu Na, et al.. (2019). Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network. RSC Advances. 9(22). 12635–12644. 64 indexed citations

19.

Peng, Wei, Jian Wu, Yujie Liu, et al.. (2015). Antitumor activity of 4-O-(2″-O-acetyl-6″-O-p-coumaroyl-β-d-glucopyranosyl)-p-coumaric acid against lung cancers via mitochondrial-mediated apoptosis. Chemico-Biological Interactions. 233. 8–13. 43 indexed citations

20.

Peng, Wei, Yujie Liu, Na Wu, et al.. (2015). Areca catechu L. (Arecaceae): A review of its traditional uses, botany, phytochemistry, pharmacology and toxicology. Journal of Ethnopharmacology. 164. 340–356. 244 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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