Pierre Baldi

2.4k citations
12 papers · 1.8k · 1 hit paper · h-index 9

Impact in

Papers in

Pierre Baldi

10 papers receiving 1.8k citations

Pierre Baldi's Hit Papers

Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning 2018 · 1.2k citations
1.2k0+2+5Years since publication4008001.2k

Peers

Pierre Baldi
Comparison fields: 5 of 125
  • Control and Systems Engineering 977
  • Mechanical Engineering 538
  • Mechanics of Materials 299
  • Industrial and Manufacturing Engineering 117
  • Medical Laboratory Technology 15
Replace Danmin Chen with:
Danmin Chen China
Zeyi Huang United States
Józef Korbicz Poland
Reza Ghaderi Iran
Rui Yao China
Yangfan Li China
Pierre Baldi relative to Danmin Chen China Danmin Chen's profile →
Citations per field
00.5×7.6×
Danmin Chen · 1×
Citations per year

Countries citing papers authored by Pierre Baldi

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Baldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Hit paper breakdown →
20181221
2 2006300
3 2017163
4 201848
5 200135
6
Mycobacterium tuberculosisの必須アシル‐CoAカルボキシラーゼカルボキシルトランスフェラーゼドメインAccD5の構造依存阻害剤デザイン
200631
7 201114
8 200012
9 20179
10 20251
11 20250
12 20240

About Pierre Baldi

Pierre Baldi is a scholar working on Molecular Biology, Artificial Intelligence, Aerospace Engineering, Biomedical Engineering and Astronomy and Astrophysics, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antenna Design and Optimization (2 papers), RNA and protein synthesis mechanisms (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), Digital Radiography and Breast Imaging (1 paper), Enzyme Catalysis and Immobilization (1 paper), Mycobacterium research and diagnosis (1 paper) and Radio Astronomy Observations and Technology (1 paper). The work is most often cited by research in Control and Systems Engineering (977 citations), Mechanical Engineering (538 citations), Mechanics of Materials (299 citations), Industrial and Manufacturing Engineering (117 citations) and Medical Laboratory Technology (15 citations). Pierre Baldi has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Siyu Shao, Stephen McAleer, Lan Huang, Christian Tagwerker, Meng Cui, Bernhard Auer, Peter Kaiser, Yimeng Dou, Karin Flick and Juan Wang. Their work appears in journals such as Bioinformatics, IEEE Open Journal of Antennas and Propagation, Biotechnology and Bioengineering, IEEE Transactions on Industrial Informatics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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