Hailong Jing

464 total citations
16 papers, 355 citations indexed

About

Hailong Jing is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mechanical Engineering. According to data from OpenAlex, Hailong Jing has authored 16 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Mechanical Engineering. Recurrent topics in Hailong Jing's work include Optical measurement and interference techniques (11 papers), Advanced Vision and Imaging (5 papers) and Image Processing Techniques and Applications (5 papers). Hailong Jing is often cited by papers focused on Optical measurement and interference techniques (11 papers), Advanced Vision and Imaging (5 papers) and Image Processing Techniques and Applications (5 papers). Hailong Jing collaborates with scholars based in China, South Korea and United States. Hailong Jing's co-authors include Xianyu Su, Yi Lin, Yuankun Liu, Yan Tang, Jiangping Zhu, Linchao Li, Bin Ran, Pei Zhou, Zhisheng You and Keren Fu and has published in prestigious journals such as Optics Express, IEEE Access and Accident Analysis & Prevention.

In The Last Decade

Hailong Jing

14 papers receiving 324 citations

Peers

Hailong Jing
Roman Juránek Czechia
Yuchi Huo China
Xu Liang China
Feixiang Lu China
Xuechao Duan China
Guoxiong Hu China
Zhenyu Liu China
Jiang Bian China
Roman Juránek Czechia
Hailong Jing
Citations per year, relative to Hailong Jing Hailong Jing (= 1×) peers Roman Juránek

Countries citing papers authored by Hailong Jing

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Jing

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

All Works

16 of 16 papers shown
1.
Zhang, Qican, et al.. (2025). Multidimensional computed measurement for highly accurate PCBA defect detection. Optics Express. 33(3). 5340–5340.
2.
Jing, Hailong, et al.. (2022). Fast and accurate 3D face reconstruction based on facial geometry constraints and fringe projection without phase unwrapping. Optics and Lasers in Engineering. 159. 107216–107216. 8 indexed citations
3.
Zhu, Jiangping, et al.. (2021). Using facial landmarks to assist the stereo matching in fringe projection based 3D face profilometry. Optical Engineering. 60(7). 2 indexed citations
4.
Lin, Yi, et al.. (2020). Automated traffic incident detection with a smaller dataset based on generative adversarial networks. Accident Analysis & Prevention. 144. 105628–105628. 97 indexed citations
5.
Fu, Keren, et al.. (2019). Fast spatial–temporal stereo matching for 3D face reconstruction under speckle pattern projection. Image and Vision Computing. 85. 36–45. 21 indexed citations
6.
Liu, Hong, et al.. (2019). Research on the Air Traffic Flow Prediction Using a Deep Learning Approach. IEEE Access. 7. 148019–148030. 24 indexed citations
7.
Zhou, Pei, Jiangping Zhu, & Hailong Jing. (2018). Optical 3-D surface reconstruction with color binary speckle pattern encoding. Optics Express. 26(3). 3452–3452. 39 indexed citations
8.
Zhang, Yongqing, et al.. (2018). Unsupervised Feature Learning with Single Layer ICANet for Face Recognition. Sensing and Imaging. 19(1). 1 indexed citations
9.
Zhou, Pei, Jiangping Zhu, Xianyu Su, Hailong Jing, & Xing Zhang. (2017). Three-dimensional shape measurement using color random binary encoding pattern projection. Optical Engineering. 56(10). 1–1. 8 indexed citations
10.
Jing, Hailong, Xianyu Su, & Zhisheng You. (2017). Uniaxial three-dimensional shape measurement with multioperation modes for different modulation algorithms. Optical Engineering. 56(3). 34115–34115. 6 indexed citations
11.
Jing, Hailong, et al.. (2017). Uniaxial 3D shape measurement using DMD grating and EF lens. Optik. 138. 487–493. 6 indexed citations
12.
Zhou, Pei, Jiangping Zhu, Xianyu Su, et al.. (2017). Experimental study of temporal-spatial binary pattern projection for 3D shape acquisition. Applied Optics. 56(11). 2995–2995. 14 indexed citations
13.
Su, Xianyu, et al.. (2014). Modulation measuring profilometry with auto-synchronous phase shifting and vertical scanning. Optics Express. 22(26). 31620–31620. 32 indexed citations
14.
Cai, Ying, et al.. (2013). A fractional Fourier transform based method of image fusion. 21. 969–973. 4 indexed citations
15.
Jing, Hailong. (2008). The influence of sampling points on the precision of curved surface fitting based on Zernike polynomials. Optical Instruments.
16.
Tang, Yan, Xianyu Su, Yuankun Liu, & Hailong Jing. (2008). 3D shape measurement of the aspheric mirror by advanced phase measuring deflectometry. Optics Express. 16(19). 15090–15090. 93 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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