Shuhao Shi

487 total citations
26 papers, 321 citations indexed

About

Shuhao Shi is a scholar working on Artificial Intelligence, Organic Chemistry and Computer Networks and Communications. According to data from OpenAlex, Shuhao Shi has authored 26 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Organic Chemistry and 6 papers in Computer Networks and Communications. Recurrent topics in Shuhao Shi's work include Oxidative Organic Chemistry Reactions (5 papers), Spam and Phishing Detection (5 papers) and Network Security and Intrusion Detection (5 papers). Shuhao Shi is often cited by papers focused on Oxidative Organic Chemistry Reactions (5 papers), Spam and Phishing Detection (5 papers) and Network Security and Intrusion Detection (5 papers). Shuhao Shi collaborates with scholars based in China and United States. Shuhao Shi's co-authors include Paul A. W. Wallace, Konstantinos A. Agrios, Janet L. Gunzner, K. C. Nicolaou, Zhen Yang, Mark E. Bunnage, Bingwei Yang, Thomas J. Katz, Longbin Liu and Weifeng Liu and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and The Journal of Organic Chemistry.

In The Last Decade

Shuhao Shi

24 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuhao Shi China	9	195	83	62	57	42	26	321
Ning Zou China	12	323 1.7×	28 0.3×	19 0.3×	6 0.1×	61 1.5×	37	432
Heather M. Lima United States	7	158 0.8×	19 0.2×	55 0.9×	136 2.4×	112 2.7×	8	391
Aaron A. Bedermann United States	6	145 0.7×	8 0.1×	25 0.4×	131 2.3×	97 2.3×	7	458
Michael Maser United States	9	132 0.7×	13 0.2×	9 0.1×	186 3.3×	107 2.5×	9	395
Oskar Popik Poland	7	99 0.5×	19 0.2×	15 0.2×	131 2.3×	141 3.4×	10	317
Yuki Sato Japan	11	296 1.5×	22 0.3×	15 0.2×	12 0.2×	29 0.7×	32	348
Michał D. Bajczyk Poland	7	49 0.3×	28 0.3×	7 0.1×	293 5.1×	224 5.3×	9	520
M. Rajkumar India	9	284 1.5×	5 0.1×	31 0.5×	11 0.2×	72 1.7×	25	404
Michael P. McCormack United States	5	81 0.4×	17 0.2×	7 0.1×	135 2.4×	110 2.6×	5	305
Yubai Zhou United States	7	103 0.5×	17 0.2×	10 0.2×	134 2.4×	141 3.4×	10	348

Countries citing papers authored by Shuhao Shi

Since Specialization

Citations

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

Fields of papers citing papers by Shuhao Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhao Shi

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

Shi, Shuhao, et al.. (2025). MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark. Neurocomputing. 647. 130490–130490. 3 indexed citations

Li, Yan, et al.. (2025). G-CutMix: A CutMix-based graph data augmentation method for bot detection in social networks. PLoS ONE. 20(9). e0331978–e0331978.

Yang, Mian, Kaihua Chen, Shenghui Guo, et al.. (2024). Preparation of Ti3SiC2-based diamond composites by Ni–Al assisted self-propagating reaction of Ti–SiC–C system in microwave field. Ceramics International. 50(7). 10881–10888.

Shi, Shuhao, Weifeng Liu, Tom Wu, et al.. (2024). High pH Stability and Ultralong‐Lived Room Temperature Phosphorescence Carbon Dots in Aqueous Environment. Advanced Optical Materials. 12(16). 23 indexed citations

Chen, Jian, et al.. (2024). CD-MAE: Contrastive Dual-Masked Autoencoder Pre-Training Model for PCB CT Image Element Segmentation. Electronics. 13(6). 1006–1006. 2 indexed citations

Shi, Shuhao, et al.. (2024). SStackGNN: Graph Data Augmentation Simplified Stacking Graph Neural Network for Twitter Bot Detection. International Journal of Computational Intelligence Systems. 17(1). 3 indexed citations

Liu, Weifeng, et al.. (2023). One-step synthesis of color-tunable carbon dots-based organic long persistent luminescence materials. Chemical Engineering Journal. 479. 147589–147589. 30 indexed citations

Shi, Shuhao, et al.. (2023). SqueezeGCN: Adaptive Neighborhood Aggregation with Squeeze Module for Twitter Bot Detection Based on GCN. Electronics. 13(1). 56–56. 2 indexed citations

Shi, Shuhao, et al.. (2023). Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks. Applied Intelligence. 53(24). 30041–30055. 1 indexed citations

10.

Yang, Shuai, Kai Qiao, Shuhao Shi, et al.. (2023). SATFace: Subject Agnostic Talking Face Generation with Natural Head Movement. Neural Processing Letters. 55(6). 7529–7542. 1 indexed citations

11.

Qiao, Kai, et al.. (2023). AEM-PCB Reverser: Circuit Schematic Generation in PCB Reverse Engineering Using Reinforcement Learning Based on Aesthetic Evaluation Metric. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(5). 1608–1612. 1 indexed citations

12.

Yang, Shuai, Ruoxi Qin, Pengfei Xie, et al.. (2022). ShapeEditor: A StyleGAN Encoder for Stable and High Fidelity Face Swapping. Frontiers in Neurorobotics. 15. 785808–785808. 5 indexed citations

13.

Yang, Shuai, et al.. (2022). EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields. The Visual Computer. 39(12). 6015–6028. 2 indexed citations

14.

Shi, Shuhao, et al.. (2022). Adaptive Multi-layer Contrastive Graph Neural Networks. Neural Processing Letters. 55(4). 4757–4776. 3 indexed citations

15.

Xie, Pengfei, Shuhao Shi, Ruoxi Qin, et al.. (2022). Improving the Transferability of Adversarial Examples by Using Generative Adversarial Networks and Data Enhancement. Journal of Physics Conference Series. 2203(1). 12026–12026. 1 indexed citations

16.

Shi, Shuhao, Shuai Yang, Kai Qiao, et al.. (2021). Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing. Frontiers in Neurorobotics. 15. 784053–784053. 3 indexed citations

17.

Shi, Shuhao, et al.. (2021). Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification. Frontiers in Neurorobotics. 15. 775688–775688. 19 indexed citations

18.

Nicolaou, K. C., Guoqiang Shi, Janet L. Gunzner, et al.. (1999). Total Synthesis of Brevetoxin A: Part 3: Construction of GHIJ and BCDE Ring Systems. Chemistry - A European Journal. 5(2). 628–645. 43 indexed citations

19.

Nicolaou, K. C., Paul A. W. Wallace, Shuhao Shi, et al.. (1999). Total Synthesis of Brevetoxin A: Part 2: Second Generation Strategy and Construction of EFGH Model System. Chemistry - A European Journal. 5(2). 618–627. 2 indexed citations

20.

Shi, Shuhao, Thomas J. Katz, Bingwei Yang, & Longbin Liu. (1995). Use of Thiazyl Chlorides, Alkyl Carbamates, and Thionyl Chloride To Fuse 1,2,5-Thiadiazoles to Quinones and To Oxidize, Chlorinate, and Aminate Them. The Journal of Organic Chemistry. 60(5). 1285–1297. 37 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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