Jingping Liu

2.1k citations
64 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Topic Modeling (27 papers)Natural Language Processing Techniques (21 papers)Advanced Combustion Engine Technologies (15 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Jingping Liu

50 papers receiving 1.2k citations

Hit Papers

A Brief Overview of ChatGPT: The History, Status Quo and ...20232026202420252023250500750

Peers

Jingping Liu
Comparison fields: 5 of 144
  • Artificial Intelligence 514
  • Health Informatics 244
  • Fluid Flow and Transfer Processes 153
  • Information Systems 118
  • Automotive Engineering 92
Replace Eduardo M. Pereira with:
Eduardo M. Pereira Portugal
Minki Kim South Korea
Shuguang Liu China
Octavio Loyola‐González Mexico
Indro Spinelli Italy
Ali Rizwan Saudi Arabia
Sakib Shahriar United Arab Emirates
Tianyu Wu China
Roberto Confalonieri Spain
Paul Koch United States
Jingping Liu relative to Eduardo M. Pereira Portugal Eduardo M. Pereira's profile →
Citations per field
00.5×20×40×51×
Eduardo M. Pereira · 1×
Citations per year

Countries citing papers authored by Jingping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jingping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingping Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 15
3 1
4 0
5 4
6 0
7 0
8 1
9 3
10 6
11 35
12 5
13 1
14 2
15 1
16 13
17 7
18 9
19 15
20 79

About Jingping Liu

Jingping Liu is a scholar working on Fluid Flow and Transfer Processes, Artificial Intelligence and Automotive Engineering, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (21 papers) and Advanced Combustion Engine Technologies (15 papers). The work is most often cited by research in Health Informatics (244 citations), Fluid Flow and Transfer Processes (153 citations) and Artificial Intelligence (514 citations). Jingping Liu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Qing‐Long Han, Siqi Sun, Shizhu He, Kang Liu, Tianyu Wu, Yang Tang, Yanghua Xiao, Xiongbo Duan, Jindong Chen and Jinfei Wang. Their work appears in journals such as Energy, Fuel and Information Sciences.

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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