Jifeng Ning

3.0k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

Jifeng Ning is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Aerospace Engineering. According to data from OpenAlex, Jifeng Ning has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 14 papers in Plant Science and 13 papers in Aerospace Engineering. Recurrent topics in Jifeng Ning's work include Video Surveillance and Tracking Methods (26 papers), Advanced Vision and Imaging (12 papers) and Smart Agriculture and AI (11 papers). Jifeng Ning is often cited by papers focused on Video Surveillance and Tracking Methods (26 papers), Advanced Vision and Imaging (12 papers) and Smart Agriculture and AI (11 papers). Jifeng Ning collaborates with scholars based in China, Hong Kong and Australia. Jifeng Ning's co-authors include Lei Zhang, David Zhang, Chengke Wu, Shuqin Yang, Shuicheng Yan, Ming–Hsuan Yang, Zhitao Zhang, Haijin Zeng, Xu Liu and Yifan Bai and has published in prestigious journals such as Food Chemistry, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Jifeng Ning

76 papers receiving 2.0k citations

Hit Papers

An improved YOLO algorithm for detecting flowers and frui... 2023 2026 2024 2025 2023 20 40 60
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.

  1. An improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings
    2023 73 citations Yifan Bai, Shuqin Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jifeng Ning China 22 1.2k 386 276 251 241 86 2.1k
Hao Lü China 28 1.1k 0.9× 1.1k 2.9× 141 0.5× 247 1.0× 380 1.6× 101 2.6k
Grzegorz Cielniak United Kingdom 22 677 0.6× 511 1.3× 380 1.4× 45 0.2× 131 0.5× 90 1.6k
João Valente Netherlands 24 586 0.5× 689 1.8× 634 2.3× 103 0.4× 108 0.4× 89 2.0k
Feras Dayoub Australia 18 1.5k 1.3× 1.1k 2.9× 1.0k 3.7× 154 0.6× 346 1.4× 55 3.1k
Inkyu Sa Australia 19 647 0.5× 1.4k 3.5× 500 1.8× 88 0.4× 386 1.6× 41 2.3k
Cunjia Liu United Kingdom 33 472 0.4× 580 1.5× 745 2.7× 78 0.3× 185 0.8× 124 2.9k
S. Arivazhagan India 18 1.1k 0.9× 277 0.7× 69 0.3× 495 2.0× 213 0.9× 143 2.0k
Peiyuan Jiang China 5 545 0.5× 222 0.6× 145 0.5× 126 0.5× 78 0.3× 11 1.7k

Countries citing papers authored by Jifeng Ning

Since Specialization
Citations

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

Fields of papers citing papers by Jifeng Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jifeng Ning

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

All Works

20 of 20 papers shown
1.
Wu, Baolin, et al.. (2025). Hysteresis in flag leaf temperature based on meteorological factors during the reproductive growth stage of wheat and the design of a predictive model. Computers and Electronics in Agriculture. 232. 110113–110113. 2 indexed citations
2.
Yang, Ning, Xiaofei Yang, Qi Xu, et al.. (2025). Evaluation of crop water status using UAV-based images data with a model updating strategy. Agricultural Water Management. 312. 109445–109445. 5 indexed citations
3.
An, Yonghui, Jifeng Ning, Chuan-Chuan Hou, & Jinping Ou. (2025). Efficient low-collision UAV-based automated structural surface inspection using geometric digital twin and voxelized obstacle information. Automation in Construction. 171. 105972–105972. 2 indexed citations
4.
Ning, Jifeng, et al.. (2025). UniMultNet: Action recognition method based on multi-scale feature fusion and video-text constraint guidance. Computer Vision and Image Understanding. 260. 104456–104456.
5.
6.
Liu, Jing, Jin Hou, Dan Liu, et al.. (2024). A joint time and spatial attention-based transformer approach for recognizing the behaviors of wild giant pandas. Ecological Informatics. 83. 102797–102797. 1 indexed citations
7.
Cheng, Ya, Jifeng Ning, Ce Wang, Wendong Zhu, & Linxi Hou. (2024). Self-powered all-nanofiber Janus textile E-skin sensor with air permeability and anti-fouling for human–machine interactions. Nano Energy. 134. 110567–110567. 11 indexed citations
8.
Wang, Zhenhua, et al.. (2024). Modeling of Multiple Spatial-Temporal Relations for Robust Visual Object Tracking. IEEE Transactions on Image Processing. 33. 5073–5085. 5 indexed citations
9.
Sun, Qianqian, et al.. (2024). A Real-Time dairy goat tracking based on MixFormer with adaptive token elimination and efficient appearance update. Computers and Electronics in Agriculture. 218. 108645–108645.
10.
Zhang, Jing, et al.. (2023). A dairy goat tracking method via lightweight fusion and Kullback Leibler divergence. Computers and Electronics in Agriculture. 213. 108189–108189. 4 indexed citations
11.
Gao, Long, et al.. (2023). Transformer-based visual object tracking via fine–coarse concatenated attention and cross concatenated MLP. Pattern Recognition. 146. 109964–109964. 20 indexed citations
12.
Bai, Yifan, et al.. (2023). Stolon-YOLO: A detecting method for stolon of strawberry seedling in glass greenhouse. Computers and Electronics in Agriculture. 215. 108447–108447. 9 indexed citations
13.
Han, Yamin, et al.. (2023). IoUNet++: Spatial cross‐layer interaction‐based bounding box regression for visual tracking. IET Computer Vision. 18(1). 177–189.
14.
Shang, Cheng, et al.. (2022). Joint loss optimization based high similarity identification for milch goats. Journal of Image and Graphics. 27(4). 1137–1147. 4 indexed citations
15.
Zeng, Haijin, et al.. (2020). Enhanced nonconvex low-rank representation for tensor completion. arXiv (Cornell University). 2 indexed citations
16.
Ning, Jifeng, et al.. (2018). Application of Fully Convolutional Neural Network on Fault Detection. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
17.
Chen, Shanshan, Fangfang Zhang, Jifeng Ning, et al.. (2014). Predicting the anthocyanin content of wine grapes by NIR hyperspectral imaging. Food Chemistry. 172. 788–793. 107 indexed citations
18.
Ning, Jifeng, et al.. (2011). Identification of tipcap of agricultural kernel based on Harris algorithm.. Transactions of the Chinese Society of Agricultural Machinery. 42(3). 166–169. 3 indexed citations
19.
Ren, Guo‐Dong & Jifeng Ning. (2011). Molecular phylogenetic analysis of Holometabola based on 18S rDNA. Keji daobao. 29. 1 indexed citations
20.
Ning, Jifeng, et al.. (2010). Image segmentation algorithm of touching rice kernels based on active contour model.. Nongye gongcheng xuebao. 26(2). 207–211. 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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