Haoming Lin

799 citations
50 papers · 568 · h-index 14

Impact in

Papers in

Haoming Lin

46 papers receiving 561 citations

Peers

Haoming Lin
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 178
  • Hepatology 36
  • Epidemiology 150
  • Biomedical Engineering 214
  • Biophysics 19
Replace José Silvestre Silva with:
José Silvestre Silva Portugal
Qiaoliang Li China
Florian Dittmann Germany
Changhan Yoon South Korea
Heran Yang China
Sevan Goenezen United States
Igor Peterlík Czechia
Lars Gjesteby United States
Dongwoon Hyun United States
Iwaki Akiyama Japan
Haoming Lin relative to José Silvestre Silva Portugal José Silvestre Silva's profile →
Citations per field
00.5×3.2×
José Silvestre Silva · 1×
Citations per year

Countries citing papers authored by Haoming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haoming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haoming Lin, 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 Haoming Lin Line = papers co-authored together Haoming Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201354
3 201433
4 201833
5 201631
6 201820
7 202120
8 201720
9 201718
10 201415
11 201914
12 201414
13 202214
14 202213
15 201512
16 201711
17 201811
18 201710
19 201610
20 20179

About Haoming Lin

Haoming Lin is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Epidemiology, Electrical and Electronic Engineering and Mechanics of Materials, having authored 50 papers that have together received 568 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (20 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Ultrasound and Hyperthermia Applications (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Electrical and Bioimpedance Tomography (11 papers), Microwave Imaging and Scattering Analysis (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers) and Non-Destructive Testing Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (178 citations), Hepatology (36 citations), Epidemiology (150 citations), Biomedical Engineering (214 citations) and Biophysics (19 citations). Haoming Lin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Siping Chen, Xin Chen, Xinyu Zhang, Yanrong Guo, Tianfu Wang, Ling Zhang, Jianhua Yao, Yuanyuan Shen, Mian Chen and Yi Zheng. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Ultrasound in Medicine & Biology, IEEE Access, Ultrasonics and Sensors.

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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