Xinjun Mao

896 total citations
118 papers, 510 citations indexed

About

Xinjun Mao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Xinjun Mao has authored 118 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 47 papers in Information Systems and 30 papers in Computer Networks and Communications. Recurrent topics in Xinjun Mao's work include Software Engineering Research (25 papers), Advanced Software Engineering Methodologies (22 papers) and Multi-Agent Systems and Negotiation (21 papers). Xinjun Mao is often cited by papers focused on Software Engineering Research (25 papers), Advanced Software Engineering Methodologies (22 papers) and Multi-Agent Systems and Negotiation (21 papers). Xinjun Mao collaborates with scholars based in China, Canada and United Kingdom. Xinjun Mao's co-authors include Kim‐Kwang Raymond Choo, Tao Peng, Shaobo Zhang, Guojun Wang, Shuo Yang, Mingsheng Tang, Tao Wang, Gang Yin, Qiuzhen Wang and Zhichang Qi and has published in prestigious journals such as IEEE Access, Frontiers in Microbiology and Information Sciences.

In The Last Decade

Xinjun Mao

99 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinjun Mao China	12	219	181	168	61	49	118	510
Hisham M. Haddad United States	13	201 0.9×	298 1.6×	171 1.0×	48 0.8×	35 0.7×	68	601
Ada Diaconescu France	11	172 0.8×	112 0.6×	192 1.1×	16 0.3×	24 0.5×	61	386
Sathiamoorthy Manoharan New Zealand	11	154 0.7×	217 1.2×	191 1.1×	64 1.0×	101 2.1×	82	610
Dan Lo United States	12	158 0.7×	291 1.6×	317 1.9×	36 0.6×	33 0.7×	73	597
Akihiko Ohsuga Japan	12	436 2.0×	236 1.3×	209 1.2×	85 1.4×	58 1.2×	169	714
Doo-Kwon Baik South Korea	11	270 1.2×	239 1.3×	197 1.2×	23 0.4×	63 1.3×	105	566
Jonathan Munson United States	12	84 0.4×	197 1.1×	252 1.5×	51 0.8×	135 2.8×	22	538
Fábio M. Costa Brazil	11	255 1.2×	302 1.7×	410 2.4×	45 0.7×	106 2.2×	53	642
In‐Young Ko South Korea	13	177 0.8×	321 1.8×	282 1.7×	17 0.3×	116 2.4×	92	611
Naresh Kumar Nagwani India	16	423 1.9×	411 2.3×	163 1.0×	44 0.7×	52 1.1×	106	850

Countries citing papers authored by Xinjun Mao

Since Specialization

Citations

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

Fields of papers citing papers by Xinjun Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjun Mao

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

All Works

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20 of 20 papers shown

Ma, Wentao, et al.. (2025). Hierarchical knowledge-guided reasoning for text-based person re-identification. Neural Networks. 192. 107888–107888.

Xu, Kele, Xingxing Zhang, Huiping Zhuang, et al.. (2025). Rethinking Obscured Sub-optimality in Analytic Learning for Exemplar-Free Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.

Liu, Yuanpeng, et al.. (2025). Multi-physical field coupling simulation study of coaxial powder feeding laser cladding on GCr15 bearing steel. Welding International. 39(5). 378–389.

Xu, Kele, Huiping Zhuang, Li Liu, et al.. (2024). Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks. 179. 106513–106513. 3 indexed citations

Xu, Kele, et al.. (2024). Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. IEEE Transactions on Artificial Intelligence. 5(11). 5530–5539. 1 indexed citations

Mao, Xinjun, et al.. (2024). CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction. 438–449.

Zhu, Xiaojian, Yunfei Gao, Qingyuan Zhang, et al.. (2024). The feedback loop of EFTUD2/c-MYC impedes chemotherapeutic efficacy by enhancing EFTUD2 transcription and stabilizing c-MYC protein in colorectal cancer. Journal of Experimental & Clinical Cancer Research. 43(1). 7–7. 5 indexed citations

Mao, Xinjun, et al.. (2023). An Effective Method for Constructing a Robot Operating System Node Knowledge Graph Based on Open-Source Robotics Repositories. Electronics. 12(19). 4022–4022.

Zhang, Yang, et al.. (2022). Recommending Base Image for Docker Containers based on Deep Configuration Comprehension. 449–453. 8 indexed citations

10.

Mao, Xinjun, et al.. (2020). Exploring CQA User Contributions and Their Influence on Answer Distribution.. Software Engineering and Knowledge Engineering. 457–462.

11.

Yang, Shuo, et al.. (2017). Towards a Robust Software Architecture for Autonomous Robot Software. 3 indexed citations

12.

Mao, Xinjun, et al.. (2015). Assessing Software Maintainability Based on Class Diagram Design: A Preliminary Case Study. 4(1). 53–58. 6 indexed citations

13.

Mao, Xinjun, et al.. (2014). An Integrated Approach to Developing Self-Adaptive Software *. Journal of information science and engineering. 30(4). 1071–1085. 2 indexed citations

14.

Tang, Mingsheng, et al.. (2014). A Dynamic Microblog Network and Information Dissemination in “@” Mode. Mathematical Problems in Engineering. 2014(1). 8 indexed citations

15.

Gao, Qinquan, et al.. (2014). New support vector machine-based method for microRNA target prediction. Genetics and Molecular Research. 13(2). 4165–4176. 2 indexed citations

16.

Tang, Mingsheng, et al.. (2013). Rumor Diffusion in an Interests‐Based Dynamic Social Network. The Scientific World JOURNAL. 2013(1). 824505–824505. 11 indexed citations

17.

Tang, Mingsheng, Xinjun Mao, & Zahia Guessoum. (2013). Research on an Infectious Disease Transmission by Flocking Birds. The Scientific World JOURNAL. 2013(1). 196823–196823. 11 indexed citations

18.

Mao, Xinjun, et al.. (2012). OrgMAP: an organization-based approach for multi-agent programming. Adaptive Agents and Multi-Agents Systems. 1437–1438. 4 indexed citations

19.

Mao, Xinjun, et al.. (2006). The Dynamic Casteship Mechanism for Modeling and Designing Adaptive Agents.. Software Engineering and Knowledge Engineering. 639–644. 1 indexed citations

20.

Mao, Xinjun, Ji Wang, & Eric Yu. (2004). A framework to specify and evaluate coordination in MAS with logic. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 325–328.

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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