Jingping Liu

2.1k total citations · 1 hit paper
64 papers, 1.2k citations indexed

About

Jingping Liu is a scholar working on Artificial Intelligence, Fluid Flow and Transfer Processes and Automotive Engineering. According to data from OpenAlex, Jingping Liu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 15 papers in Fluid Flow and Transfer Processes and 10 papers in Automotive Engineering. Recurrent topics in Jingping Liu's work include Topic Modeling (27 papers), Natural Language Processing Techniques (21 papers) and Advanced Combustion Engine Technologies (15 papers). Jingping Liu is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (21 papers) and Advanced Combustion Engine Technologies (15 papers). Jingping Liu collaborates with scholars based in China, United States and Australia. Jingping Liu's co-authors include Tianyu Wu, Yang Tang, Shizhu He, Siqi Sun, Qing‐Long Han, Kang Liu, Yanghua Xiao, Xiongbo Duan, Jindong Chen and Jinfei Wang and has published in prestigious journals such as Energy, Fuel and Information Sciences.

In The Last Decade

Jingping Liu

50 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

2023 776 citations Tianyu Wu, Shizhu He et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jingping Liu China	12	514	244	153	118	92	64	1.2k
Minki Kim South Korea	15	222 0.4×	9 0.0×	137 0.9×	35 0.3×	46 0.5×	94	1.3k
Eduardo M. Pereira Portugal	4	601 1.2×	89 0.4×	3 0.0×	54 0.5×	20 0.2×	8	1.0k
Indro Spinelli Italy	7	435 0.8×	84 0.3×	2 0.0×	76 0.6×	16 0.2×	10	939
Octavio Loyola‐González Mexico	17	612 1.2×	31 0.1×	3 0.0×	320 2.7×	20 0.2×	50	1.3k
Ali Rizwan Saudi Arabia	15	143 0.3×	46 0.2×	3 0.0×	131 1.1×	10 0.1×	50	797
Hussain AlSalman Saudi Arabia	21	332 0.6×	11 0.0×	7 0.0×	148 1.3×	18 0.2×	62	1.1k
Yige Xu China	8	805 1.6×	24 0.1×	4 0.0×	174 1.5×	13 0.1×	12	1.2k
Roberto Confalonieri Italy	13	831 1.6×	214 0.9×		90 0.8×	16 0.2×	48	1.5k
Paul Koch United States	10	659 1.3×	159 0.7×	1 0.0×	92 0.8×	19 0.2×	20	1.3k
Niklas Kühl Germany	16	341 0.7×	65 0.3×	1 0.0×	120 1.0×	36 0.4×	71	1.0k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Tao, et al.. (2025). Multi-HGNN: Multi-modal hypergraph neural networks for predicting missing reactions in metabolic networks. Information Sciences. 704. 121960–121960. 1 indexed citations

Liu, Jingping, et al.. (2025). Experiment and simulation analysis of the effects of different asynchronous variable intake valve phase differences on the in-cylinder flow, combustion and performance characteristics of high compression ratio turbocharged enhanced Miller cycle engine. Energy. 320. 134988–134988. 15 indexed citations

Wang, Haofen, et al.. (2024). A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7442–7454.

Liu, Jingping, Mingchuan Zhang, Weichen Li, et al.. (2024). Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18653–18661. 1 indexed citations

Jiang, Haiyun, et al.. (2024). Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction. 9176–9190.

Wang, Shuqian, et al.. (2024). Influence of variable enhanced LIVC miller cycle coupled with high compression ratio on the performance and combustion of a supercharged spark ignition engine. Energy. 309. 133214–133214. 4 indexed citations

Xie, Mingke, Jianqin Fu, Cheng Sun, Xilei Sun, & Jingping Liu. (2023). Multi methods for combustion instability analysis of Atkinson cycle engine based on time series analysis. Applied Thermal Engineering. 226. 120298–120298. 3 indexed citations

Wang, Rumin, et al.. (2023). Effects of asynchronous late intake valve closing combined with high geometric compression ratio and exhaust gas recirculation on combustion and fuel consumption in a turbocharged SI engine:An experimental study. Energy. 290. 130058–130058. 6 indexed citations

Sun, Xilei, Mingke Xie, Feng Zhou, Jianqin Fu, & Jingping Liu. (2023). Multi-objective optimization for combustion, thermodynamic and emission characteristics of Atkinson cycle engine using tree-based machine learning and the NSGA II algorithm. Fuel. 342. 127839–127839. 35 indexed citations

10.

Li, Zhixu, et al.. (2023). HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. 3433–3443. 1 indexed citations

11.

Liu, Juntao, et al.. (2023). Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction. Knowledge-Based Systems. 280. 110988–110988. 2 indexed citations

12.

Wang, Rumin, et al.. (2023). Experimental investigation of the influence of pre-chamber structural parameters on combustion and emission characteristics of a high compression ratio SI engine. Thermal Science and Engineering Progress. 47. 102318–102318. 5 indexed citations

13.

Shi, Xiaoming, et al.. (2023). AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model. 953–957. 1 indexed citations

14.

Wu, Tianyu, Shizhu He, Jingping Liu, et al.. (2023). A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE/CAA Journal of Automatica Sinica. 10(5). 1122–1136. 776 indexed citations breakdown →

15.

Jiang, Haiyun, Jingping Liu, Menghui Wang, et al.. (2022). Entity understanding with hierarchical graph learning for enhanced text classification. Knowledge-Based Systems. 244. 108576–108576. 7 indexed citations

16.

Jiang, Sihang, Jingping Liu, Chao Wang, et al.. (2022). Rule mining over knowledge graphs via reinforcement learning. Knowledge-Based Systems. 242. 108371–108371. 13 indexed citations

17.

Li, Zhen, et al.. (2022). Relationship among self-concept clarity, social support, and psychological resilience in Chinese patients with an enterostomy: A cross-sectional study and structural equation model analysis. European Journal of Oncology Nursing. 59. 102151–102151. 9 indexed citations

18.

Xie, Chenhao, et al.. (2021). Revisiting the Negative Data of Distantly Supervised Relation Extraction. 3572–3581. 15 indexed citations

19.

Chen, Jindong, et al.. (2019). Deep Short Text Classification with Knowledge Powered Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6252–6259. 79 indexed citations

20.

Liu, Jingping, et al.. (2010). State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory. 372–375. 4 indexed citations

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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