Shi Dong

3.9k total citations · 1 hit paper
106 papers, 2.4k citations indexed

About

Shi Dong is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shi Dong has authored 106 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 37 papers in Artificial Intelligence and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Shi Dong's work include Network Security and Intrusion Detection (24 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Mobile Ad Hoc Networks (15 papers). Shi Dong is often cited by papers focused on Network Security and Intrusion Detection (24 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Mobile Ad Hoc Networks (15 papers). Shi Dong collaborates with scholars based in China, Australia and United States. Shi Dong's co-authors include Khushnood Abbas, Ping Wang, Mudar Sarem, Raj Jain, Tao Peng, Joarder Kamruzzaman, Yuanjun Xia, Xinming Zhang, Huadong Wang and Farhan Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Construction and Building Materials.

In The Last Decade

Shi Dong

94 papers receiving 2.3k 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.

A survey on deep learning and its applications

2021 973 citations Shi Dong, Ping Wang et al. Computer Science Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shi Dong China	19	952	892	426	357	317	106	2.4k
Gulshan Kumar India	18	727 0.8×	846 0.9×	460 1.1×	224 0.6×	295 0.9×	45	1.9k
Jafar A. Alzubi Jordan	28	874 0.9×	1.0k 1.2×	255 0.6×	473 1.3×	413 1.3×	83	2.8k
Paul D. Yoo United Arab Emirates	26	880 0.9×	879 1.0×	448 1.1×	495 1.4×	192 0.6×	84	2.4k
Kuruva Lakshmanna India	23	646 0.7×	876 1.0×	164 0.4×	387 1.1×	420 1.3×	51	2.7k
Kalyan Veeramachaneni United States	21	471 0.5×	1.3k 1.4×	286 0.7×	308 0.9×	365 1.2×	82	2.5k
Manoj Kumar India	31	834 0.9×	726 0.8×	281 0.7×	431 1.2×	683 2.2×	236	3.0k
Crina Groşan Romania	28	712 0.7×	1.3k 1.5×	243 0.6×	281 0.8×	195 0.6×	96	2.6k
Miodrag Živković Serbia	34	647 0.7×	1.5k 1.7×	246 0.6×	600 1.7×	400 1.3×	182	3.3k
Zhaoquan Gu China	23	578 0.6×	766 0.9×	202 0.5×	358 1.0×	547 1.7×	165	2.2k
Jian Wang China	25	708 0.7×	934 1.0×	162 0.4×	455 1.3×	412 1.3×	182	2.6k

Countries citing papers authored by Shi Dong

Since Specialization

Citations

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

Fields of papers citing papers by Shi Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Dong

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

Zhang, Bin, et al.. (2025). Ultrasonic-assisted structural engineering of NiFe-LDH nanosheets: Unraveling the mechanistic enhancements in alkaline OER for green electrocatalysis. Journal of Electroanalytical Chemistry. 981. 118958–118958. 5 indexed citations

Dong, Shi, et al.. (2025). Enhanced unknown Android Malware Detection using LG-PN: A local–global fusion approach in prototypical networks. Journal of Information Security and Applications. 91. 104062–104062.

Chowdhury, Abdullahi, et al.. (2025). Secure Electric Vehicle Charging Infrastructure in Smart Cities: A Blockchain-Based Smart Contract Approach. Smart Cities. 8(1). 33–33. 7 indexed citations

Dong, Shi, et al.. (2024). Device Identification Method for Internet of Things Based on Spatial-Temporal Feature Residuals. IEEE Transactions on Services Computing. 17(6). 3400–3416. 4 indexed citations

Dong, Shi, et al.. (2024). Dual Frequency-based Temporal Sequential Recommendation. 1–8. 1 indexed citations

Dong, Shi, et al.. (2024). Improved PBFT Consensus Mechanism Based on Voting Sort Clustering Partition With Group Signature for IoT. IEEE Transactions on Intelligent Transportation Systems. 26(2). 2239–2251. 3 indexed citations

Dong, Shi, et al.. (2024). The Metaverse Review: Exploring the Boundless Ream of Digital Reality. Computers, materials & continua/Computers, materials & continua (Print). 81(3). 3451–3498. 4 indexed citations

Dong, Shi, et al.. (2023). Multi-temporal Sequential Recommendation Model Based on the Fused Learning Preferences. International Journal of Computational Intelligence Systems. 16(1). 1 indexed citations

Dong, Shi, et al.. (2023). Oxygen vacancies meet partial S substitution: an effective strategy to achieve obvious synergistic effects and adjustable electrochemical behavior in NiFe-LDH for enhanced OER and capacitive performance. Inorganic Chemistry Frontiers. 10(18). 5391–5405. 19 indexed citations

10.

Naeem, Hamad, et al.. (2023). Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification. Expert Systems with Applications. 223. 119952–119952. 41 indexed citations

11.

Ji, Yajun, et al.. (2023). Mixed solvent-assisted synthesis of high mass loading amorphous NiCo-MOF as a promising electrode material for supercapacitors. Dalton Transactions. 52(37). 13395–13404. 6 indexed citations

12.

Dong, Shi, Jiajun Liang, & Jiaxin Yang. (2023). The leakage current suppression of transformerless three-level photovoltaic grid-connected inverter. Journal of Physics Conference Series. 2479(1). 12034–12034.

13.

Zhang, Lei, et al.. (2022). Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 237(2). 268–275. 1 indexed citations

14.

Zalasiński, Marcin, et al.. (2022). Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. Journal of Artificial Intelligence and Soft Computing Research. 12(4). 267–279. 2 indexed citations

15.

Dong, Shi, et al.. (2021). Improved influential nodes identification in complex networks. Journal of Intelligent & Fuzzy Systems. 41(6). 6263–6271. 4 indexed citations

16.

Dong, Shi, Ping Wang, & Khushnood Abbas. (2021). A survey on deep learning and its applications. Computer Science Review. 40. 100379–100379. 973 indexed citations breakdown →

17.

Dong, Shi, et al.. (2017). Feature selection algorithm based on correlation between muti metric network traffic flow features.. The International Arab Journal of Information Technology. 14. 362–371. 3 indexed citations

18.

Zhou, Wengang, et al.. (2013). A Traffic Classification Algorithm Based on Neural Network. International Journal of Applied Mathematics & Statistics. 48(18). 307–315. 1 indexed citations

19.

Dong, Shi, et al.. (2013). Flow Cluster Algorithm Based on Improved K-means Method. IETE Journal of Research. 59(4). 326–333. 9 indexed citations

20.

Dong, Shi. (2011). The bioactive metabolites of Aspergillus versicolor F62 isolated from Haliclona simulans. Mycosystema. 2 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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