Jianfang Shi

813 total citations · 1 hit paper
10 papers, 597 citations indexed

About

Jianfang Shi is a scholar working on Computer Vision and Pattern Recognition, Food Science and Artificial Intelligence. According to data from OpenAlex, Jianfang Shi has authored 10 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Food Science and 2 papers in Artificial Intelligence. Recurrent topics in Jianfang Shi's work include Phytochemicals and Antioxidant Activities (2 papers), Food Drying and Modeling (2 papers) and vaccines and immunoinformatics approaches (1 paper). Jianfang Shi is often cited by papers focused on Phytochemicals and Antioxidant Activities (2 papers), Food Drying and Modeling (2 papers) and vaccines and immunoinformatics approaches (1 paper). Jianfang Shi collaborates with scholars based in China, South Korea and United States. Jianfang Shi's co-authors include Lichuan Gu, Xiaohui Yuan, Mingchao Wang, Zheng‐Guo He, Yuqing Li, Jumei Zeng, Jie Liu, Zhenting Zhao, Pengwei Li and Kun Lian and has published in prestigious journals such as Expert Systems with Applications, Journal of Proteome Research and Drying Technology.

In The Last Decade

Jianfang Shi

9 papers receiving 584 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.

A review of deep learning methods for semantic segmentation of remote sensing imagery

2020 501 citations Xiaohui Yuan, Jianfang Shi et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianfang Shi China	5	247	200	105	95	90	10	597
Hong Tang China	19	189 0.8×	202 1.0×	110 1.0×	67 0.7×	50 0.6×	75	749
Guangyi Yang China	12	430 1.7×	290 1.4×	90 0.9×	55 0.6×	135 1.5×	30	704
Jianxin Jia China	12	221 0.9×	78 0.4×	53 0.5×	47 0.5×	70 0.8×	35	458
Xiaoming Mei China	7	316 1.3×	263 1.3×	110 1.0×	302 3.2×	37 0.4×	12	734
Jicheng Wang China	16	180 0.7×	318 1.6×	50 0.5×	48 0.5×	57 0.6×	56	732
Yao Xu China	10	247 1.0×	88 0.4×	59 0.6×	76 0.8×	78 0.9×	16	508

Countries citing papers authored by Jianfang Shi

Since Specialization

Citations

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

Fields of papers citing papers by Jianfang Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfang Shi. A scholar is included among the top collaborators of Jianfang Shi 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 Jianfang Shi. Jianfang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Zhu, Guangfei, Guangyue Ren, Jian Jian Li, et al.. (2025). Microstructural changes, water migration, and oil release in Camellia oleifera seeds during microwave vacuum drying. Journal of Stored Products Research. 116. 102921–102921.

2.

Ren, Guangyue, et al.. (2025). Effect of microwave vacuum drying on drying characteristics and functional components of Camellia oleifera seeds. Drying Technology. 43(11-12). 1765–1778. 1 indexed citations

3.

Zhu, Guangfei, et al.. (2024). Effects of postharvest piling up in bulk on qualities of Camellia oleifera seeds. Journal of Stored Products Research. 106. 102291–102291. 5 indexed citations

4.

Yuan, Xiaohui, Jianfang Shi, & Lichuan Gu. (2020). A review of deep learning methods for semantic segmentation of remote sensing imagery. Expert Systems with Applications. 169. 114417–114417. 501 indexed citations breakdown →

5.

Hu, Jie, Zhenting Zhao, Jie Liu, et al.. (2017). Synthesis and electrochemical properties of rGO-MoS2 heterostructures for highly sensitive nitrite detection. Ionics. 24(2). 577–587. 38 indexed citations

6.

Zhang, Yongping, et al.. (2013). Study of Assembly Automation for Strain Gauge Based on Machine Vision. 49. 401–405. 2 indexed citations

7.

Shi, Jianfang, et al.. (2012). Improved Particle Filtering Algorithm for Maneuvering Target Tracking. 2. 117–120. 2 indexed citations

8.

Li, Yuqing, et al.. (2010). A Proteome-Scale Identification of Novel Antigenic Proteins inMycobacterium tuberculosistoward Diagnostic and Vaccine Development. Journal of Proteome Research. 9(9). 4812–4822. 42 indexed citations

9.

Shi, Jianfang, et al.. (2009). Track Correlation Based on A'trous Algorithm. 86. 392–396. 1 indexed citations

10.

Shi, Jianfang, et al.. (2008). Application of wavelet neural network and multi-sensor data fusion technique in intelligent sensor. 14. 1114–1117. 5 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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