Jiewei Lu

816 total citations
15 papers, 400 citations indexed

About

Jiewei Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Jiewei Lu has authored 15 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Ophthalmology. Recurrent topics in Jiewei Lu's work include Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (5 papers) and Glaucoma and retinal disorders (5 papers). Jiewei Lu is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (5 papers) and Glaucoma and retinal disorders (5 papers). Jiewei Lu collaborates with scholars based in China, Hong Kong and United States. Jiewei Lu's co-authors include Zhun Fan, Xinye Cai, Xinjian Chen, Jingyu Yang, Erik D. Goodman, Zhenmin Tang, Maoguo Gong, Han Huang, Cai-Min Wei and Wenji Li and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Pattern Recognition Letters.

In The Last Decade

Jiewei Lu

15 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiewei Lu China 8 188 154 138 73 54 15 400
Milind M. Mushrif India 11 118 0.6× 51 0.3× 268 1.9× 121 1.7× 22 0.4× 33 428
Syam Machinathu Parambil Gangadharan India 9 55 0.3× 20 0.1× 67 0.5× 76 1.0× 20 0.4× 16 371
Sarah Mazhar China 9 220 1.2× 90 0.6× 120 0.9× 97 1.3× 19 0.4× 15 397
Erdal Özbay Türkiye 12 72 0.4× 21 0.1× 120 0.9× 132 1.8× 16 0.3× 39 344
Tapabrata Chakraborti United Kingdom 10 107 0.6× 47 0.3× 127 0.9× 99 1.4× 8 0.1× 33 345
Musa Çıbuk Türkiye 8 127 0.7× 17 0.1× 104 0.8× 141 1.9× 44 0.8× 20 358
Shaveta Arora India 9 113 0.6× 41 0.3× 290 2.1× 105 1.4× 13 0.2× 33 459
Chongjing Wang China 9 83 0.4× 28 0.2× 122 0.9× 105 1.4× 11 0.2× 18 293
Filipe Soares Portugal 9 156 0.8× 96 0.6× 83 0.6× 55 0.8× 16 0.3× 26 269
Tiejun Yang China 11 111 0.6× 21 0.1× 223 1.6× 135 1.8× 16 0.3× 47 432

Countries citing papers authored by Jiewei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiewei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiewei Lu

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

All Works

15 of 15 papers shown
1.
Lu, Jiewei, et al.. (2023). Coarse and Fine Two-Stage Calibration Method for Enhancing the Accuracy of Inverse Finite Element Method. Sensors. 23(13). 5793–5793. 1 indexed citations
2.
Zhang, Song, Jiewei Lu, Weiguang Huo, Ningbo Yu, & Jianda Han. (2022). Estimation of knee joint movement using single-channel sEMG signals with a feature-guided convolutional neural network. Frontiers in Neurorobotics. 16. 978014–978014. 4 indexed citations
3.
Zheng, Ce, Yao Qian, Jiewei Lu, et al.. (2021). Detection of Referable Horizontal Strabismus in Children's Primary Gaze Photographs Using Deep Learning. Translational Vision Science & Technology. 10(1). 33–33. 39 indexed citations
4.
Huang, Longtao, Binyao Chen, Jianling Yang, et al.. (2019). Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model. Graefe s Archive for Clinical and Experimental Ophthalmology. 258(3). 577–585. 26 indexed citations
5.
Chen, Yaowen, et al.. (2019). Sampling with level set for pigmented skin lesion segmentation. Signal Image and Video Processing. 13(4). 813–821. 9 indexed citations
6.
Fan, Zhun, Jiewei Lu, Cai-Min Wei, et al.. (2018). A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images. IEEE Transactions on Image Processing. 28(5). 2367–2377. 82 indexed citations
7.
Fan, Zhun, et al.. (2018). Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(3). 876–887. 77 indexed citations
8.
Fan, Zhun, Jiewei Lu, Ce Zheng, et al.. (2018). Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications.. 6 indexed citations
9.
Fan, Zhun, Jiewei Lu, & Wenji Li. (2017). Automated Blood Vessel Segmentation of Fundus Images Based on Region Features and Hierarchical Growth Algorithm.. arXiv (Cornell University). 3 indexed citations
10.
Fan, Zhun, et al.. (2017). Optic Disk Detection in Fundus Image Based on Structured Learning. IEEE Journal of Biomedical and Health Informatics. 22(1). 224–234. 52 indexed citations
12.
13.
Fan, Zhun, et al.. (2015). Detecting optic disk based on structured learning. 6. 1127–1132. 2 indexed citations
14.
Lu, Jiewei, et al.. (2011). Density-based hierarchical clustering for streaming data. Pattern Recognition Letters. 33(5). 641–645. 27 indexed citations
15.
Lu, Jiewei, et al.. (2008). Hierarchical initialization approach for K-Means clustering. Pattern Recognition Letters. 29(6). 787–795. 59 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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