Jingpeng Li
researcher (ORCID 0000-0002-6758-0084)
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Stirling (2013–present), University of Nottingham Ningbo (2011–2013), University of Nottingham (2010–2011), University of Nottingham (2003–2010)[2][3][4][5]
- Educated at
- University of Leeds (1999–2002)[6]
- Official website
- www.cs.stir.ac.uk[7]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[8]
🏷️ Also known as
en Jingpeng Li
🔖 Identifiers · 9
- ORCID iD
- 0000-0002-6758-0084
- VIAF cluster ID
- 101141805
- GND ID
- 139397140
- OpenAlex ID
- A5078385256as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 46/1503
- DDB person (GND) ID
- 139397140
- Dimensions author ID
- 010075634213.50
- Scopus author ID
- 8725152600
- ZbMATH author ID
- li.jingpeng.1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images,
A hybrid medical text classification framework: Integrating attentive rule construction and neural network,
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images,
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images,
A probabilistic model for vehicle scheduling based on stochastic trip times,
Automating the ABCD Rule for Melanoma Detection: A Survey,
Deep Learning in Cell Image Analysis,
Electric vehicle scheduling based on stochastic trip time and energy consumption
+4 more
← Authored by 12
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images,
A hybrid medical text classification framework: Integrating attentive rule construction and neural network,
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images,
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images,
A probabilistic model for vehicle scheduling based on stochastic trip times,
Automating the ABCD Rule for Melanoma Detection: A Survey,
Deep Learning in Cell Image Analysis,
Electric vehicle scheduling based on stochastic trip time and energy consumption
+4 more
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Summary
Jingpeng Li worked as a researcher[1].
Body
Career and Affiliations
Employers include University of Stirling[2], a public university[9], in United Kingdom[10], founded in 1967[11], headquartered in Stirling[12]; University of Nottingham Ningbo[3], a university[13], in People's Republic of China[14], founded in 2004[15], headquartered in Ningbo[16]; and University of Nottingham[4], a public university[17], in United Kingdom[18], founded in 1881[19], headquartered in Nottingham[20].
FAQs
What did Jingpeng Li do for work?
Jingpeng Li worked as researcher[1].
Where did Jingpeng Li go to school?
Jingpeng Li was educated at University of Leeds[6].