Pechin Lo

59 total papers · 1.5k total citations
41 papers, 815 citations indexed

About

Pechin Lo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pechin Lo has authored 41 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pechin Lo's work include Lung Cancer Diagnosis and Treatment (16 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Pechin Lo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Pechin Lo collaborates with scholars based in Denmark, United States and Netherlands. Pechin Lo's co-authors include Marleen de Bruijne, Jon Sporring, Haseem Ashraf, Mads Nielsen, Asger Dirksen, Michael F. McNitt‐Gray, Jonathan Goldin, Grace Hyun J. Kim, Jesper Holst Pedersen and Matthew S. Brown and has published in prestigious journals such as Journal of Clinical Oncology, European Respiratory Journal and IEEE Transactions on Medical Imaging.

In The Last Decade

Pechin Lo

41 papers receiving 796 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pechin Lo	515	421	148	109	87	41	815
Shicheng Hu	392 0.8×	465 1.1×	268 1.8×	93 0.9×	129 1.5×	31	874
Jens Petersen	340 0.7×	217 0.5×	171 1.2×	79 0.7×	133 1.5×	57	812
Jihye Yun	314 0.6×	555 1.3×	107 0.7×	137 1.3×	189 2.2×	36	965
Brent Foster	271 0.5×	671 1.6×	265 1.8×	169 1.6×	125 1.4×	30	1.0k
Yanfeng Zhao	229 0.4×	403 1.0×	116 0.8×	166 1.5×	88 1.0×	71	825
Tryphon Lambrou	178 0.3×	274 0.7×	400 2.7×	92 0.8×	183 2.1×	34	917
Hiroshi Natori	305 0.6×	216 0.5×	356 2.4×	140 1.3×	79 0.9×	92	958
Renuka Uppaluri	672 1.3×	270 0.6×	66 0.4×	117 1.1×	79 0.9×	15	916
Naama Bogot	515 1.0×	550 1.3×	59 0.4×	98 0.9×	145 1.7×	49	1.0k
Germán González	204 0.4×	313 0.7×	181 1.2×	129 1.2×	96 1.1×	56	910

Countries citing papers authored by Pechin Lo

Since Specialization

Citations

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

Fields of papers citing papers by Pechin Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pechin Lo

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

All Works

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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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