Wei Gao

7.6k total citations · 1 hit paper
301 papers, 6.2k citations indexed

About

Wei Gao is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Wei Gao has authored 301 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computational Theory and Mathematics, 78 papers in Geometry and Topology and 64 papers in Artificial Intelligence. Recurrent topics in Wei Gao's work include Graph theory and applications (76 papers), Computational Drug Discovery Methods (46 papers) and Fractional Differential Equations Solutions (41 papers). Wei Gao is often cited by papers focused on Graph theory and applications (76 papers), Computational Drug Discovery Methods (46 papers) and Fractional Differential Equations Solutions (41 papers). Wei Gao collaborates with scholars based in China, Türkiye and Pakistan. Wei Gao's co-authors include Hacı Mehmet Başkonuş, P. Veeresha, D. G. Prakasha, Gülnur Yel, Weifan Wang, Zhi‐Hua Zhou, Juan L. G. Guirao, Yiqiao Wang, Adnan Aslam and Hasan Bulut and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Chemical Physics Letters.

In The Last Decade

Wei Gao

278 papers receiving 6.0k citations

Hit Papers

An independent set degree condition for fractional critic... 2018 2026 2020 2023 2018 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Gao China 41 1.9k 1.4k 1.0k 993 800 301 6.2k
Xinzhi Liu Canada 55 911 0.5× 2.8k 2.0× 615 0.6× 391 0.4× 949 1.2× 464 11.4k
Praveen Agarwal India 46 3.2k 1.7× 980 0.7× 457 0.4× 502 0.5× 262 0.3× 364 6.9k
Juan L. G. Guirao Spain 34 1.0k 0.5× 743 0.5× 307 0.3× 346 0.3× 345 0.4× 225 3.7k
Zhen Wang China 54 1.3k 0.7× 2.3k 1.6× 850 0.8× 130 0.1× 1.3k 1.6× 442 9.4k
R. Sakthivel India 59 2.8k 1.4× 2.6k 1.8× 1.1k 1.1× 369 0.4× 1.7k 2.1× 588 14.2k
Yan Li China 46 1.9k 1.0× 939 0.7× 379 0.4× 139 0.1× 669 0.8× 515 10.6k
Omar Abu Arqub Jordan 58 5.3k 2.8× 2.0k 1.4× 435 0.4× 229 0.2× 860 1.1× 144 9.0k
Igor Podlubný Slovakia 30 4.8k 2.5× 1.4k 1.0× 267 0.3× 189 0.2× 749 0.9× 81 9.7k
Carlo Cattani Italy 47 3.6k 1.8× 2.0k 1.4× 232 0.2× 180 0.2× 300 0.4× 316 6.9k
Yonghong Wu China 44 3.0k 1.6× 1.1k 0.7× 697 0.7× 413 0.4× 213 0.3× 490 8.4k

Countries citing papers authored by Wei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Gao

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

All Works

20 of 20 papers shown
1.
Gao, Wei & Hacı Mehmet Başkonuş. (2025). On the Double-Stranded DNA Model by Using an Analytical Method in Soliton Theory. Croatica Chemica Acta. 98(4). 289–297.
2.
Deng, Yongheng, et al.. (2024). A smart hybrid memory scheduling approach using neural models. Science China Information Sciences. 67(4). 1 indexed citations
3.
Wu, Di, et al.. (2023). KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation. Complex & Intelligent Systems. 9(6). 6645–6659. 6 indexed citations
4.
Tang, Mingjing, Di Wu, Shu Zhang, & Wei Gao. (2023). EPAN-SERec: Expertise preference-aware networks for software expert recommendations with knowledge graph. Expert Systems with Applications. 244. 122985–122985. 6 indexed citations
5.
Başkonuş, Hacı Mehmet, et al.. (2023). A SHORT SOLUTION OF THE LOCAL FRACTIONAL (2+1)-DIMENSIONAL DISPERSIVE LONG WATER WAVE SYSTEM. Fractals. 32(4). 1 indexed citations
6.
Li, Zijie, et al.. (2022). Clothing attribute recognition via a holistic relation network. International Journal of Intelligent Systems. 37(9). 6201–6220. 2 indexed citations
7.
Gao, Wei & Weifan Wang. (2021). Overview on fuzzy fractional coloring. SHILAP Revista de lepidopterología. 2. 196–201. 5 indexed citations
8.
Li, Yan, Ajay Kumar, Juan L. G. Guirao, Hacı Mehmet Başkonuş, & Wei Gao. (2021). Deeper properties of the nonlinear Phi-four and Gross-Pitaevskii equations arising mathematical physics. Modern Physics Letters B. 36(4). 6 indexed citations
9.
Gan, Jianhou, et al.. (2021). Fine‐grained semantic ethnic costume high‐resolution image colorization with conditional GAN. International Journal of Intelligent Systems. 37(5). 2952–2968. 18 indexed citations
10.
Liu, Bo, et al.. (2020). An automatic coloring method for ethnic costume sketches based on generative adversarial networks. Applied Soft Computing. 98. 106786–106786. 17 indexed citations
11.
Silambarasan, Rathinavel, Hacı Mehmet Başkonuş, R. Vijay Anand, et al.. (2020). Longitudinal strain waves propagating in an infinitely long cylindrical rod composed of generally incompressible materials and its Jacobi elliptic function solutions. Mathematics and Computers in Simulation. 182. 566–602. 19 indexed citations
12.
Gao, Wei, Juan L. G. Guirao, & Hualong Wu. (2020). Nordhaus–Gaddum type inequalities for some distance-based indices of bipartite molecular graphs. Journal of Mathematical Chemistry. 58(7). 1345–1352. 3 indexed citations
13.
Gao, Wei, Behzad Ghanbari, & Hacı Mehmet Başkonuş. (2019). New numerical simulations for some real world problems with Atangana–Baleanu fractional derivative. Chaos Solitons & Fractals. 128. 34–43. 118 indexed citations
14.
Gao, Wei & Juan L. G. Guirao. (2019). Parameters and fractional factors in different settings. Journal of Inequalities and Applications. 2019(1). 2 indexed citations
15.
Guirao, Juan L. G., Jaume Llibre, & Wei Gao. (2019). Topological entropy of continuous self-maps on a graph. Computational and Applied Mathematics. 38(4). 1 indexed citations
16.
Gao, Wei, Jalal Alsarraf, Hossein Moayedi, Amin Shahsavar, & Hoang Nguyen. (2019). Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms. Applied Soft Computing. 84. 105748–105748. 91 indexed citations
17.
Gao, Wei, et al.. (2018). An Extension Result on Fractional ID-(g, f, m)-Deleted Graph.. Ars Combinatoria. 141. 139–148.
18.
Gao, Wei. (2013). Isolated toughness condition for fractional (a,b,n)-critical deleted graphs. 1 indexed citations
19.
Gao, Wei. (2012). Ontology similarity computation using k-partite ranking method. Journal of Computer Applications. 8 indexed citations
20.
Gao, Wei. (2001). Oscillation criteria for delay difference equations. 20 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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