J. Weng

23.2k total citations
9 papers, 13 citations indexed

About

J. Weng is a scholar working on Artificial Intelligence, Automotive Engineering and Astronomy and Astrophysics. According to data from OpenAlex, J. Weng has authored 9 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Automotive Engineering and 1 paper in Astronomy and Astrophysics. Recurrent topics in J. Weng's work include Adversarial Robustness in Machine Learning (2 papers), Acute Myeloid Leukemia Research (1 paper) and Particle physics theoretical and experimental studies (1 paper). J. Weng is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Acute Myeloid Leukemia Research (1 paper) and Particle physics theoretical and experimental studies (1 paper). J. Weng collaborates with scholars based in Switzerland, China and Australia. J. Weng's co-authors include Stefan Brünner, M. Stavrianakou, S.-H. Lee, M. Obergaulinger, Shahzad Muzaffar, A. De Roeck, Ricardo Chavarriaga, S. Orlando, Shigehiro Nagataki and K. Lassila-Perini and has published in prestigious journals such as Journal of Hydrology, Annals of Oncology and Astronomy and Astrophysics.

In The Last Decade

J. Weng

6 papers receiving 10 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Weng Switzerland	3	4	3	3	2	2	9	13
D. Salamani Switzerland	2	4 1.0×	3 1.0×				3	4
D. Trocino United States	2	4 1.0×	3 1.0×				2	5
W. Fedorko Canada	2	4 1.0×	2 0.7×				6	6
A. Winter Germany	2	6 1.5×	3 1.0×				4	8
Antonio Carlos Oliveira da Silva United States	2	4 1.0×	2 0.7×				2	6
D. Kobylianskii Israel	3	5 1.3×	4 1.3×				5	9
C. Battilana Italy	1	3 0.8×	2 0.7×				2	3
Moloko Hlakola South Africa	2	3 0.8×	2 0.7×				3	5
Swagata Mukherjee India	2	6 1.5×	2 0.7×				5	7
V. Rusu United States	2	5 1.3×	4 1.3×				2	7

Countries citing papers authored by J. Weng

Since Specialization

Citations

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

Fields of papers citing papers by J. Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Weng

This figure shows the co-authorship network connecting the top 25 collaborators of J. Weng. A scholar is included among the top collaborators of J. Weng 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 J. Weng. J. Weng 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:

9 of 9 papers shown

1.

Orlando, S., M. Miceli, M. Ono, et al.. (2025). Tracing the ejecta structure of supernova 1987A: Insights and diagnostics from 3D magnetohydrodynamic simulations. Astronomy and Astrophysics. 699. A305–A305. 1 indexed citations

2.

Weng, J., et al.. (2025). Spatially coherent changes in Chinese annual flood peaks revealed by a consensus-based machine learning framework for regionalization. Journal of Hydrology. 665. 134665–134665.

3.

Brünner, Stefan, et al.. (2024). Towards the Certification of AI-based Systems. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 84–91. 1 indexed citations

4.

Chavarriaga, Ricardo, et al.. (2024). MLOps as Enabler of Trustworthy AI. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 37–40. 2 indexed citations

5.

Weng, J., et al.. (2023). Ensuring Safety in Highly Automated Vehicles: A Review of Testing and Validation Methods for Robustness and Reliability. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 257–264. 2 indexed citations

6.

Brünner, Stefan, et al.. (2023). A Comprehensive Framework for Ensuring the Trustworthiness of AI Systems. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 2772–2779. 2 indexed citations

7.

Weng, J., et al.. (2022). 617O Lemzoparlimab, a differentiated anti-CD47 monoclonal antibody, in combination with azacitidine (AZA) in patients with newly diagnosed higher risk myelodysplastic syndrome (HR-MDS): Initial clinical results. Annals of Oncology. 33. S827–S827. 1 indexed citations

8.

Amapane, N., Sw. Banerjee, A. De Roeck, et al.. (2005). An object-oriented simulation program for CMS. IEEE Symposium Conference Record Nuclear Science 2004.. 4. 2024–2028. 3 indexed citations

9.

Alessi, A., et al.. (2003). DESIGN OF 1.2 GEV SCL AS NEW INJECTOR FOR THE BNL AGS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 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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