Junlin Liu

1.5k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Junlin Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Junlin Liu has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Management Science and Operations Research. Recurrent topics in Junlin Liu's work include Adversarial Robustness in Machine Learning (5 papers), Multi-Criteria Decision Making (4 papers) and IoT and Edge/Fog Computing (4 papers). Junlin Liu is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Multi-Criteria Decision Making (4 papers) and IoT and Edge/Fog Computing (4 papers). Junlin Liu collaborates with scholars based in China, Taiwan and United States. Junlin Liu's co-authors include Пэйдэ Лю, Shyi‐Ming Chen, José M. Merigó, Shi‐Xia Liu, Jun Zhu, Xiting Wang, Baining Guo, Jianfei Chen, Jing Wu and Xiting Wang and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Junlin Liu

22 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Someq-Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi-Attribute Group Decision Making

2017 299 citations Пэйдэ Лю, Junlin Liu International Journal of Intelligent Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junlin Liu China	12	830	496	313	295	187	24	1.1k
Bùi Công Cường Vietnam	12	1.0k 1.3×	348 0.7×	259 0.8×	439 1.5×	332 1.8×	36	1.4k
Muhammad Aslam Pakistan	22	1.2k 1.4×	383 0.8×	241 0.8×	369 1.3×	501 2.7×	141	1.7k
Ubaid ur Rehman Pakistan	18	881 1.1×	321 0.6×	143 0.5×	240 0.8×	266 1.4×	84	1.1k
Shou-Hsiung Cheng Taiwan	14	899 1.1×	326 0.7×	319 1.0×	376 1.3×	252 1.3×	32	1.1k
Hua Zhao China	16	1.1k 1.3×	468 0.9×	397 1.3×	323 1.1×	279 1.5×	40	1.2k
Sumera Naz Pakistan	21	1.0k 1.2×	403 0.8×	185 0.6×	253 0.9×	321 1.7×	75	1.2k
Christophe Labreuche France	15	876 1.1×	230 0.5×	353 1.1×	434 1.5×	234 1.3×	61	1.3k
Asad Ali Pakistan	21	930 1.1×	541 1.1×	370 1.2×	201 0.7×	282 1.5×	50	1.2k
Dimple Rani India	18	1.3k 1.5×	727 1.5×	418 1.3×	313 1.1×	309 1.7×	21	1.4k
Daniel J. Buehrer Taiwan	7	1.0k 1.2×	317 0.6×	328 1.0×	399 1.4×	419 2.2×	25	1.3k

Countries citing papers authored by Junlin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Junlin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlin Liu

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

Liu, Junlin, et al.. (2025). Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size. 1–5. 1 indexed citations

Liu, Junlin, et al.. (2025). PPoison: A Pluggable Poisoning attack against distributed training of split learning. Future Generation Computer Systems. 175. 108045–108045. 1 indexed citations

Liu, Junlin, Xinchen Lyu, Qimei Cui, & Xiaofeng Tao. (2024). Similarity-Based Label Inference Attack Against Training and Inference of Split Learning. IEEE Transactions on Information Forensics and Security. 19. 2881–2895. 11 indexed citations

Li, Yuyuan, et al.. (2023). Making recommender systems forget: Learning and unlearning for erasable recommendation. Knowledge-Based Systems. 283. 111124–111124. 18 indexed citations

Liu, Junlin & Xinchen Lyu. (2023). Distance-Based Online Label Inference Attacks Against Split Learning. 1–5. 4 indexed citations

Lyu, Xinchen, et al.. (2023). Security-Communication-Computation Tradeoff of Split Decisions for Edge Intelligence. IEEE Wireless Communications. 31(3). 257–263. 11 indexed citations

Liu, Junlin, et al.. (2022). Computing Power Network: A Testbed and Applications with Edge Intelligence. 1–2. 16 indexed citations

Zhang, Xing, et al.. (2022). Joint Offloading and Resource Allocation with Partial Information for Multi-user Edge Computing. 2022 IEEE Globecom Workshops (GC Wkshps). 1736–1741. 5 indexed citations

Liu, Junlin, et al.. (2020). TuningMalconv: Malware Detection With Not Just Raw Bytes. IEEE Access. 8. 140915–140922. 13 indexed citations

10.

Lin, Jyun-Jie, et al.. (2019). A Review Structure Based Ensemble Model for Deceptive Review Spam. Information. 10(7). 243–243. 22 indexed citations

11.

Liu, Junlin, et al.. (2019). An Intelligent Security Defensive Model of SCADA Based on Multi-Agent in Oil and Gas Fields. International Journal of Pattern Recognition and Artificial Intelligence. 34(1). 2059003–2059003. 12 indexed citations

12.

Лю, Пэйдэ, Junlin Liu, & Shyi‐Ming Chen. (2017). Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making. Journal of the Operational Research Society. 69(1). 1–24. 231 indexed citations

13.

Лю, Пэйдэ & Junlin Liu. (2017). Someq-Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi-Attribute Group Decision Making. International Journal of Intelligent Systems. 33(2). 315–347. 299 indexed citations breakdown →

14.

Лю, Пэйдэ, Shyi‐Ming Chen, & Junlin Liu. (2017). Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators. Information Sciences. 411. 98–121. 183 indexed citations

15.

Liu, Shi‐Xia, et al.. (2017). Visual Diagnosis of Tree Boosting Methods. IEEE Transactions on Visualization and Computer Graphics. 24(1). 163–173. 69 indexed citations

16.

Лю, Пэйдэ, Junlin Liu, & José M. Merigó. (2017). Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making. Applied Soft Computing. 62. 395–422. 153 indexed citations

17.

Yan, Fangrong, et al.. (2014). Parameter Estimation of Population Pharmacokinetic Models with Stochastic Differential Equations: Implementation of an Estimation Algorithm. Journal of Probability and Statistics. 2014. 1–8. 3 indexed citations

18.

Yan, Fangrong, et al.. (2013). Bayesian Inference for Generalized Linear Mixed Model Based on the Multivariate t Distribution in Population Pharmacokinetic Study. PLoS ONE. 8(3). e58369–e58369. 3 indexed citations

19.

Chen, Jiann‐Jone, et al.. (2010). A secured video streaming system. 625–630. 2 indexed citations

20.

Liu, Junlin, et al.. (2002). An improved characterization of 1-step recoverable embeddings: rings in hypercubes. 2. 508–514.

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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