Jun Zeng

477 total citations
51 papers, 328 citations indexed

About

Jun Zeng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jun Zeng has authored 51 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Jun Zeng's work include Advanced MIMO Systems Optimization (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Analytical Chemistry and Chromatography (4 papers). Jun Zeng is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Analytical Chemistry and Chromatography (4 papers). Jun Zeng collaborates with scholars based in China, Germany and Japan. Jun Zeng's co-authors include Min He, Guan Gui, Bamidele Adebisi, Haris Gacanin, Jinlong Sun, Hikmet Sari, Tomoaki Ohtsuki, Yi‐Feng Chen, Rong Lin and Chaoqun Han and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Construction and Building Materials.

In The Last Decade

Jun Zeng

43 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Zeng China	10	67	59	48	39	30	51	328
Maciej Kusy Poland	12	188 2.8×	57 1.0×	23 0.5×	24 0.6×	18 0.6×	25	496
Martin Pawelczyk Germany	2	206 3.1×	26 0.4×	28 0.6×	26 0.7×	17 0.6×	3	432
Long Tang China	10	55 0.8×	32 0.5×	30 0.6×	14 0.4×	41 1.4×	49	348
Vishal Choudhary India	12	44 0.7×	147 2.5×	6 0.1×	66 1.7×	15 0.5×	71	498
Chenwei Wu China	10	26 0.4×	25 0.4×	23 0.5×	16 0.4×	35 1.2×	26	475
Guang‐Hui Fu China	10	125 1.9×	34 0.6×	7 0.1×	58 1.5×	14 0.5×	26	366
Aakanksha Sharma India	6	71 1.1×	27 0.5×	7 0.1×	28 0.7×	9 0.3×	26	288
Talayeh Razzaghi United States	9	143 2.1×	26 0.4×	13 0.3×	7 0.2×	10 0.3×	24	362
Damien Dablain United States	4	184 2.7×	45 0.8×	9 0.2×	16 0.4×	10 0.3×	4	337

Countries citing papers authored by Jun Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Jun Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zeng

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

Zeng, Jun, et al.. (2025). Green communication for OverGNN enabled heterogeneous ultra‐dense networks. IET Communications. 19(1). 1 indexed citations

Zeng, Jun, et al.. (2025). FNDC5 and ACOX1 as Biomarkers of Peroxisomal Activity with Contrast Outcomes in Colon Adenocarcinoma. Biological Procedures Online. 27(1). 27–27.

Zeng, Jun, et al.. (2024). The relationship between serum levels of LOX-1, hs-cTnT, NGAL, and renal function, and their diagnostic value in patients with chronic kidney disease: a retrospective study. BMC Nephrology. 25(1). 427–427. 1 indexed citations

Li, Jialin, Shanshan Zhou, Jun Zeng, Y. Huang, & Bin Wang. (2024). Polydopamine: A novel high-efficiency accelerator for Portland cement. Construction and Building Materials. 426. 136102–136102.

Liu, Dongdong, et al.. (2024). Relationships among vegetation restoration, drought and hydropower generation in the karst and non-karst regions of Southwest China over the past two decades. The Science of The Total Environment. 958. 177917–177917. 1 indexed citations

Zeng, Zhuo, Dongdong Liu, Quanhou Dai, Jun Zeng, & Juan Jiang. (2024). Effects of moss patches on the sediment loss, flow hydraulics and surface microtopography of soil slopes in karst mountainous areas. CATENA. 249. 108672–108672. 5 indexed citations

Yao, Qiang, et al.. (2024). Vision based nighttime pavement cracks pixel level detection by integrating infrared visible fusion and deep learning. Construction and Building Materials. 442. 137662–137662. 8 indexed citations

Wang, Juanjuan, et al.. (2023). Designing mobile operator’s tariff package pricing scheme based on user’s internet behavior. Computer Communications. 211. 93–103.

Zeng, Jun, et al.. (2023). Identification of zona pellucida defects revealed a novel loss-of-function mutation in ZP2 in humans and rats. Frontiers in Endocrinology. 14. 1169378–1169378. 5 indexed citations

10.

Yu, Ziqi, et al.. (2022). Molecular Mechanisms of Isolated Polycystic Liver Diseases. Frontiers in Genetics. 13. 846877–846877. 5 indexed citations

11.

Zeng, Jun, et al.. (2022). Analysis of the status quo of pelvic floor muscle and the effect of pelvic floor muscle training in second pregnant women. Medicine. 101(45). e31370–e31370. 1 indexed citations

12.

Zeng, Jun, et al.. (2022). Image classification combined with faster R–CNN for the peak detection of complex components and their metabolites in untargeted LC-HRMS data. Analytica Chimica Acta. 1238. 340189–340189. 18 indexed citations

13.

He, Min, et al.. (2020). Herbal Component Correlation and Matrix-based Resolution in Comprehensive two-dimensional Gas Chromatography - Mass Spectrometry data via Intelligent Clustering of Modulation Peaks. Journal of Pharmaceutical and Biomedical Analysis. 194. 113800–113800. 6 indexed citations

14.

Chen, Yi‐Feng, Jun Zeng, Hongtao Shi, et al.. (2020). Variation in hydraulic conductivity of fractured rocks at a dam foundation during operation. Journal of Rock Mechanics and Geotechnical Engineering. 13(2). 351–367. 37 indexed citations

15.

Zhang, Kaixuan, et al.. (2020). Lightweight Comprehensive Evaluation Method for Wireless User Perception Based on Random Forest. 1. 1–5. 1 indexed citations

16.

Zeng, Jun, et al.. (2019). Cell Scene Division and Visualization Based on Autoencoder and K-Means Algorithm. IEEE Access. 7. 165217–165225. 15 indexed citations

17.

Zhang, Kaixuan, Juan Wang, Wei Zhang, et al.. (2019). Random Forest Algorithm-Based Lightweight Comprehensive Evaluation for Wireless User Perception. IEEE Access. 7. 173477–173484.

18.

Han, Chaoqun, Jun Zeng, Rong Lin, et al.. (2017). The utility of neutrophil to lymphocyte ratio and fluid sequestration as an early predictor of severe acute pancreatitis. Scientific Reports. 7(1). 10704–10704. 34 indexed citations

19.

Ma, Yunxia, et al.. (2017). MicroRNA-125b in peripheral blood: a potential biomarker for severity and prognosis of children with viral encephalitis. Neurological Sciences. 38(8). 1437–1444. 9 indexed citations

20.

Zeng, Jun, et al.. (2013). [Proteomic analysis of gastric mucosa in chronic gastritis rats of Pi-Wei damp-heat syndrome treated by sanren decoction: an experimental study].. PubMed. 33(1). 76–80. 3 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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