Jerome Liang

1.3k citations
11 papers · 952 · 1 hit paper · h-index 6

Impact in

Papers in

Jerome Liang

11 papers receiving 918 citations

Jerome Liang's Hit Papers

Privacy preserving crowd monitoring: Counting people without people models or tracking 2008 · 888 citations
8880+6+12Years since publication250500750

Peers

Jerome Liang
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 815
  • Artificial Intelligence 580
  • Safety, Risk, Reliability and Quality 134
  • Transportation 90
  • Ocean Engineering 92
Replace Xiaolong Jiang with:
Xiaolong Jiang China
Qingyu Song China
Deepak Babu Sam India
Zenglin Shi China
Dingkang Liang China
Zhengkai Jiang China
Ruiwen Li China
Guofeng Zou China
Seung‐Hwan Bae South Korea
Jiarui Cai United States
Jerome Liang relative to Xiaolong Jiang China Xiaolong Jiang's profile →
Citations per field
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Xiaolong Jiang · 1×
Citations per year

Countries citing papers authored by Jerome Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jerome Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jerome Liang Line = papers co-authored together Jerome Liang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Privacy preserving crowd monitoring: Counting people without people models or tracking
Hit paper breakdown →
2008888
2 200918
3 200815
4 20189
5 20047
6 20247
7 20164
8 20111
9 20081
10 20081
11 20041

About Jerome Liang

Jerome Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 952 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Colorectal Cancer Screening and Detection (5 papers), Medical Image Segmentation Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Radiotherapy Techniques (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (815 citations), Artificial Intelligence (580 citations), Safety, Risk, Reliability and Quality (134 citations), Transportation (90 citations) and Ocean Engineering (92 citations). Jerome Liang has collaborated with scholars based in United States and China. Frequent co-authors include Nuno Vasconcelos, Antoni B. Chan, Hongbing Lu, Tianfang Li, Dongming Wang, Perry J. Pickhardt, Qiong Xu, Yongyi Shi, Yongfeng Gao and Xuanqin Mou. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, Cancer Management and Research, Cancer Imaging and International Journal of Computer Assisted Radiology and Surgery.

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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