Ling Jian

1.4k total citations
78 papers, 1.1k citations indexed

About

Ling Jian is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Ling Jian has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 15 papers in Mechanical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Ling Jian's work include Iron and Steelmaking Processes (13 papers), Machine Learning and ELM (9 papers) and Metallurgical Processes and Thermodynamics (9 papers). Ling Jian is often cited by papers focused on Iron and Steelmaking Processes (13 papers), Machine Learning and ELM (9 papers) and Metallurgical Processes and Thermodynamics (9 papers). Ling Jian collaborates with scholars based in China, United States and Hong Kong. Ling Jian's co-authors include Chuanhou Gao, Shihua Luo, Jundong Li, Huan Liu, Kai Shu, Shu-Qian Shen, Jiusun Zeng, Lei Li, Jiming Chen and Youxian Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and European Journal of Operational Research.

In The Last Decade

Ling Jian

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Jian China	18	450	373	209	156	83	78	1.1k
Qing Tao China	20	303 0.7×	392 1.1×	186 0.9×	278 1.8×	48 0.6×	88	1.1k
Jian Huang China	19	342 0.8×	501 1.3×	615 2.9×	91 0.6×	59 0.7×	102	1.4k
Hongjun Wang China	17	228 0.5×	294 0.8×	288 1.4×	259 1.7×	132 1.6×	156	1.2k
WU Tie-jun China	16	190 0.4×	152 0.4×	480 2.3×	102 0.7×	115 1.4×	121	986
Rui Ma China	16	145 0.3×	111 0.3×	114 0.5×	169 1.1×	61 0.7×	68	932
Douglas Allaire United States	24	259 0.6×	201 0.5×	148 0.7×	33 0.2×	59 0.7×	91	1.3k
Chyi‐Tsong Chen Taiwan	17	178 0.4×	236 0.6×	449 2.1×	50 0.3×	61 0.7×	45	913
Chong Zhou China	12	70 0.2×	911 2.4×	175 0.8×	151 1.0×	96 1.2×	39	1.4k
Bhavya Kailkhura United States	19	67 0.1×	587 1.6×	132 0.6×	116 0.7×	80 1.0×	73	1.3k
Robert J. Marks United States	8	63 0.1×	395 1.1×	145 0.7×	101 0.6×	35 0.4×	11	791

Countries citing papers authored by Ling Jian

Since Specialization

Citations

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

Fields of papers citing papers by Ling Jian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Jian

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

Jian, Ling, et al.. (2025). The impostor phenomenon among surgeons and surgeons in training: a scoping review. BMC Medical Education. 25(1). 399–399.

Gu, Xiao, et al.. (2025). Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation. ACM Transactions on Knowledge Discovery from Data. 19(3). 1–15. 1 indexed citations

Liu, Wei, et al.. (2024). Live streaming product display or social interaction: How do they influence consumer intention and behavior? A heuristic-systematic perspective. Electronic Commerce Research and Applications. 67. 101437–101437. 12 indexed citations

Wang, Xinmin, et al.. (2024). Efficient Pump Scheduling for Large‐Scale Multiproduct Pipelines Using Deep Reinforcement Learning. International Journal of Adaptive Control and Signal Processing. 39(7). 1567–1579.

Xiao, An, et al.. (2024). ROPU: A robust online positive-unlabeled learning algorithm. Knowledge-Based Systems. 309. 112808–112808.

Liu, Min, et al.. (2024). A learning-based artificial bee colony algorithm for operation optimization in gas pipelines. Information Sciences. 690. 121593–121593. 8 indexed citations

Luo, Xue, et al.. (2023). Nonlinear viscoelastoplastic kinetics for high-temperature performance of modified asphalt binders. Mechanics of Materials. 180. 104612–104612. 12 indexed citations

Yu, Qi, et al.. (2023). LapRamp: a noise resistant classification algorithm based on manifold regularization. Applied Intelligence. 53(20). 23797–23811. 2 indexed citations

Li, Hui, Ling Jian, Zhen Leng, Yuqing Zhang, & Xue Luo. (2023). Nonlinear Viscoelasticity and Viscoplasticity Characteristics of Virgin and Modified Asphalt Binders. Journal of Engineering Mechanics. 149(10). 2 indexed citations

10.

Jian, Ling, et al.. (2023). A Deep News Headline Generation Model with REINFORCE Filter. 1–7. 2 indexed citations

11.

Song, Xiaoxin, et al.. (2021). Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. IEEE Intelligent Systems. 36(3). 14–22. 5 indexed citations

12.

Jian, Ling, et al.. (2020). A cost-sensitive online learning method for peptide identification. BMC Genomics. 21(1). 324–324. 5 indexed citations

13.

Jian, Ling, Jundong Li, & Huan Liu. (2018). Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Transactions on Intelligent Systems and Technology. 9(5). 1–23. 8 indexed citations

14.

Wang, Jian, et al.. (2017). Convergence analysis of BP neural networks via sparse response regularization. Applied Soft Computing. 61. 354–363. 39 indexed citations

15.

Jian, Ling, Jundong Li, Kai Shu, & Huan Liu. (2016). Multi-label informed feature selection. International Joint Conference on Artificial Intelligence. 1627–1633. 85 indexed citations

16.

Jian, Ling, et al.. (2016). Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model. Journal of Computational and Applied Mathematics. 308. 330–345. 17 indexed citations

17.

Gao, Chuanhou, Ling Jian, Xueyi Liu, Jiming Chen, & Youxian Sun. (2011). Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. IEEE Transactions on Neural Networks. 22(12). 2272–2283. 35 indexed citations

18.

Jian, Ling, et al.. (2011). Design of a multiple kernel learning algorithm for LS-SVM by convex programming. Neural Networks. 24(5). 476–483. 26 indexed citations

19.

Jian, Ling, et al.. (2010). Hepatobiliary imaging in the diagnosis of prolonged neonatal jaundice: which scanning end point should be chosen?. 19(3). 177–178. 1 indexed citations

20.

Jian, Ling. (2005). Turandot : A Resisting Reading. 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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