Jianping Lu

649 citations
29 papers · 415 · h-index 11

Impact in

Papers in

Jianping Lu

27 papers receiving 409 citations

Peers

Jianping Lu
Comparison fields: 5 of 49
  • Health Informatics 18
  • Oncology 193
  • Radiology, Nuclear Medicine and Imaging 156
  • Rheumatology 66
  • Pulmonary and Respiratory Medicine 106
Replace Imke Schatka with:
Imke Schatka Germany
Karen De Amorim Bernstein United States
Andrei Lebovici Romania
Yaqiong Ge China
Guangjie Yang China
Manish Ora India
Sho Uehara Japan
Marius Mayerhöfer Austria
Hexiang Wang China
Jianping Lu relative to Imke Schatka Germany Imke Schatka's profile →
Citations per field
00.5×1.5×1.9×
Imke Schatka · 1×
Citations per year

Countries citing papers authored by Jianping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jianping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202273
2 201349
3 201948
4 201245
5 201641
6 201330
7 201316
8 201314
9
CT features of colloid carcinomas of the pancreas.
201013
10 202213
11 202211
12 201610
13 20137
14 20137
15 20237
16 20136
17 20186
18 20214
19 20223
20 20133

About Jianping Lu

Jianping Lu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Neuroendocrine Tumor Research Advances (5 papers), Pancreatitis Pathology and Treatment (4 papers), Renal cell carcinoma treatment (4 papers), Abdominal Trauma and Injuries (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Health Informatics (18 citations), Oncology (193 citations), Radiology, Nuclear Medicine and Imaging (156 citations), Rheumatology (66 citations) and Pulmonary and Respiratory Medicine (106 citations). Jianping Lu has collaborated with scholars based in China and United States. Frequent co-authors include Aisheng Dong, Yang Wang, Changjing Zuo, Changjing Zuo, Yun Bian, Jing Gong, Chengwei Shao, Hui Jiang, Hui Dong and Xu Fang. Their work appears in journals such as Frontiers in Oncology, Abdominal Radiology, Pancreas, European Radiology and Clinical Nuclear Medicine.

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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