He Jun

410 total citations · 1 hit paper
10 papers, 348 citations indexed

About

He Jun is a scholar working on Food Science, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, He Jun has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Food Science, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in He Jun's work include Image and Signal Denoising Methods (2 papers), Food composition and properties (1 paper) and ECG Monitoring and Analysis (1 paper). He Jun is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Food composition and properties (1 paper) and ECG Monitoring and Analysis (1 paper). He Jun collaborates with scholars based in China. He Jun's co-authors include Ziwei Wang, Jianbin Xiong, Qinghua Zhang, Ming Xiao, Guoxi Sun, Jinggui Zhang, Noshaba Aziz, Yue Wang, Lishan Kang and Linfeng Hu and has published in prestigious journals such as IEEE Sensors Journal, British Food Journal and IEEE photonics journal.

In The Last Decade

He Jun

10 papers receiving 338 citations

Hit 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.

Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests

2017 306 citations Ziwei Wang, Qinghua Zhang et al. IEEE Sensors Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He Jun China	4	275	169	89	37	31	10	348
Zihan Zhang China	7	201 0.7×	121 0.7×	85 1.0×	42 1.1×	43 1.4×	16	335
Tianchi Ma China	12	116 0.4×	82 0.5×	61 0.7×	11 0.3×	29 0.9×	47	352
Jiesi Luo China	10	240 0.9×	189 1.1×	51 0.6×	15 0.4×	38 1.2×	19	329
Minghong Han China	6	325 1.2×	226 1.3×	140 1.6×	41 1.1×	18 0.6×	18	392
Qing Xiong China	11	276 1.0×	290 1.7×	137 1.5×	15 0.4×	31 1.0×	24	429
G. E. Young United States	12	215 0.8×	45 0.3×	60 0.7×	16 0.4×	31 1.0×	31	315
Yuhang Ming China	8	111 0.4×	59 0.3×	34 0.4×	28 0.8×	19 0.6×	17	216
Qiuyu Yang China	10	199 0.7×	36 0.2×	17 0.2×	25 0.7×	199 6.4×	30	307
Yunsai Chen China	10	207 0.8×	51 0.3×	22 0.2×	63 1.7×	32 1.0×	29	370

Countries citing papers authored by He Jun

Since Specialization

Citations

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

Fields of papers citing papers by He Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Jun

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

10 of 10 papers shown

1.

Jun, He, et al.. (2023). “I” vs “me”: the urbanization of “post-80s” and “post-90s” Chinese migrant workers. Economic Research-Ekonomska Istraživanja. 36(1). 1 indexed citations

2.

Li, Xi, et al.. (2023). Effect of cognitive bias on the consumption of broiler products in China; the role of information acquisition channels. British Food Journal. 125(11). 4163–4181. 1 indexed citations

3.

Jun, He, et al.. (2022). Spatial Distribution and Driving Forces of the Vegetable Industry in China. Land. 11(7). 981–981. 16 indexed citations

4.

Zhang, Jinggui & He Jun. (2017). Dual Abruptly Focus of Modulated Circular Airy Beams. IEEE photonics journal. 9(1). 1–10. 14 indexed citations

5.

Wang, Ziwei, Qinghua Zhang, Jianbin Xiong, et al.. (2017). Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests. IEEE Sensors Journal. 17(17). 5581–5588. 306 indexed citations breakdown →

6.

Hu, Linfeng, He Jun, Juntao Feng, & Xing Zhang. (2013). Optimization of supercritical CO2 extraction and characterization of antifungal activity of essential oils in Cuminum cyminum L.. Australian Journal of Crop Science. 7(12). 1809–1813. 5 indexed citations

7.

Jun, He. (2013). Estimate of Wavelet Transform Based Power Quality and MATLAB Simulation. 1 indexed citations

8.

Jun, He. (2010). Oxidative degradation of guar gum and its derivatives by ammonium persulfate. Chemical Research and Application. 2 indexed citations

9.

Jun, He. (2010). Quantitative study on the selection of wavelet functions for the de-noising of ECG signal. 1 indexed citations

10.

Jun, He & Lishan Kang. (1993). Parallel multigrid algorithms based on wavelet multiresolution approximations.. 1. 421–430. 1 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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