Jin Liu

3.2k total citations
128 papers, 2.2k citations indexed

About

Jin Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin Liu has authored 128 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 43 papers in Information Systems and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin Liu's work include Topic Modeling (22 papers), Software Engineering Research (16 papers) and Advanced Graph Neural Networks (16 papers). Jin Liu is often cited by papers focused on Topic Modeling (22 papers), Software Engineering Research (16 papers) and Advanced Graph Neural Networks (16 papers). Jin Liu collaborates with scholars based in China, Australia and United States. Jin Liu's co-authors include Shunping Ji, Xiao Liu, Zhiwen Xie, Zhou Xu, Xiaoqian Zhao, Qinghua Guo, Guangyou Zhou, Jimmy Xiangji Huang, Yutian Tang and Tao Zhang and has published in prestigious journals such as Applied Catalysis B: Environmental, Scientific Reports and Environmental Pollution.

In The Last Decade

Jin Liu

119 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Liu China	24	518	481	325	297	232	128	2.2k
José C. Riquelme Spain	29	1.2k 2.3×	584 1.2×	293 0.9×	333 1.1×	201 0.9×	127	3.0k
Xin Hu China	30	744 1.4×	429 0.9×	199 0.6×	320 1.1×	116 0.5×	69	2.8k
Kapil Sharma India	24	430 0.8×	372 0.8×	112 0.3×	369 1.2×	189 0.8×	165	1.8k
Xiaoyong Zhou China	27	946 1.8×	682 1.4×	254 0.8×	58 0.2×	175 0.8×	108	3.0k
Chuan Luo China	23	499 1.0×	266 0.6×	97 0.3×	160 0.5×	201 0.9×	100	1.6k
Jesús S. Aguilar–Ruiz Spain	33	1.1k 2.1×	473 1.0×	91 0.3×	222 0.7×	182 0.8×	131	3.1k
Xing Wang China	19	194 0.4×	282 0.6×	99 0.3×	79 0.3×	181 0.8×	119	1.6k
Thomas Strasser Austria	34	308 0.6×	256 0.5×	140 0.4×	52 0.2×	115 0.5×	224	4.9k
Nelson F. F. Ebecken Brazil	23	565 1.1×	185 0.4×	204 0.6×	156 0.5×	31 0.1×	209	2.0k
David W. Opitz United States	10	1.6k 3.2×	279 0.6×	191 0.6×	592 2.0×	36 0.2×	23	3.1k

Countries citing papers authored by Jin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Liu. A scholar is included among the top collaborators of Jin 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 Jin Liu. Jin 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

Tian, Meng, Xiaoke Di, Jin Liu, et al.. (2025). Lactylation in radiosensitivity regulation: Mechanistic insights and recent advances. Seminars in Oncology. 52(5). 152394–152394.

Liu, Zifeng, et al.. (2025). RK-VQA: Rational knowledge-aware fusion-in-decoder for knowledge-based visual question answering. Information Fusion. 118. 102969–102969.

Huang, Bo, et al.. (2025). Causal inference and attribute correlation consistency for eliminating popularity bias in recommendation system. Applied Soft Computing. 185. 113928–113928.

Liu, Jin, et al.. (2024). Joint embedding in hierarchical distance and semantic representation learning for link prediction. Big Data Research. 38. 100495–100495. 1 indexed citations

Xie, Zhiwen, et al.. (2024). One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8914–8927. 11 indexed citations

Huang, Bo, et al.. (2024). A multi-task learning model for recommendation based on fusion of dynamic and static neighbors. Engineering Applications of Artificial Intelligence. 133. 108190–108190. 2 indexed citations

Liu, Jin, et al.. (2024). Question-Directed Reasoning With Relation-Aware Graph Attention Network for Complex Question Answering Over Knowledge Graph. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1915–1927. 6 indexed citations

Liu, Jin, et al.. (2024). Multilingual entity alignment by abductive knowledge reasoning on multiple knowledge graphs. Engineering Applications of Artificial Intelligence. 139. 109660–109660. 30 indexed citations

Zhu, Jialiang, Jin Liu, Lihua Qiu, et al.. (2023). Placenta segmentation in magnetic resonance imaging: Addressing position and shape of uncertainty and blurred placenta boundary. Biomedical Signal Processing and Control. 88. 105680–105680. 4 indexed citations

10.

Liu, Jin, et al.. (2023). A novel method for generating a canonical basis for decision implications based on object-induced three-way operators. Knowledge-Based Systems. 283. 111161–111161. 4 indexed citations

11.

Zhou, Guangyou, et al.. (2023). Incorporating global–local neighbors with Gaussian mixture embedding for few-shot knowledge graph completion. Expert Systems with Applications. 234. 121086–121086. 7 indexed citations

12.

Liu, Jin, et al.. (2023). Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer. Journal of Systems and Software. 200. 111672–111672. 6 indexed citations

13.

Achterberg, Eric P., Yuan Shen, Huamao Yuan, et al.. (2023). Stable carbon isotopic composition of amino sugars in heterotrophic bacteria and phytoplankton: Implications for assessment of marine organic matter degradation. Limnology and Oceanography. 68(12). 2814–2825. 4 indexed citations

14.

Huang, Bo, et al.. (2022). CRF-GCN: An effective syntactic dependency model for aspect-level sentiment analysis. Knowledge-Based Systems. 260. 110125–110125. 34 indexed citations

15.

Liu, Jin, et al.. (2022). Query Path Generation via Bidirectional Reasoning for Multihop Question Answering From Knowledge Bases. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1183–1195. 8 indexed citations

16.

Wang, Xin, et al.. (2022). Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation. 1–6. 3 indexed citations

17.

Liu, Jin, et al.. (2021). DeepDT: Generative Adversarial Network for High-Resolution Climate Prediction. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations

18.

Liu, Jin, et al.. (2021). Fusion of Internal Similarity to Improve the Accuracy of Recommendation Algorithm. 3(2). 65–76. 2 indexed citations

19.

Burkhardt, Felix, et al.. (2008). Semi-Automatic Ontology Engineering in Business Applications. GI Jahrestagung (2). 688–693. 4 indexed citations

20.

Liu, Jin, et al.. (2006). A Reuse-Oriented Process Component Representation Framework.. Software Engineering Research and Practice. 156–162. 1 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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