Arif Ullah

416 total citations
19 papers, 209 citations indexed

About

Arif Ullah is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Arif Ullah has authored 19 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 4 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Arif Ullah's work include Spectroscopy and Quantum Chemical Studies (8 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Arif Ullah is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (8 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Arif Ullah collaborates with scholars based in China, United States and Pakistan. Arif Ullah's co-authors include Pavlo O. Dral, Alexei A. Kananenka, YiJing Yan, Xiao Zheng, Fuchun Ge, Yun‐An Yan, Lina Zhang, Vladimir Chernyak, Maxim F. Gelin and Yiheng Dai and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Expert Systems with Applications.

In The Last Decade

Arif Ullah

15 papers receiving 205 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Arif Ullah	120	82	32	31	31	19	209
Xinzijian Liu	173 1.4×	90 1.1×	17 0.5×	101 3.3×	31 1.0×	12	335
Junjie Yang	153 1.3×	121 1.5×	28 0.9×	63 2.0×	42 1.4×	18	313
Tong Jiang	168 1.4×	86 1.0×	28 0.9×	8 0.3×	13 0.4×	23	277
Olivier Adjoua	74 0.6×	100 1.2×	17 0.5×	130 4.2×	72 2.3×	16	259
Jeffrey B. Schriber	129 1.1×	49 0.6×	12 0.4×	16 0.5×	20 0.6×	6	175
Lea M. Ibele	214 1.8×	31 0.4×	14 0.4×	19 0.6×	8 0.3×	17	280
Yaling Ke	326 2.7×	35 0.4×	54 1.7×	15 0.5×	4 0.1×	24	371
Manas Sajjan	212 1.8×	76 0.9×	168 5.3×	16 0.5×	53 1.7×	27	372
Jiawei Peng	62 0.5×	26 0.3×	51 1.6×	77 2.5×	11 0.4×	36	247
Jakub Rydzewski	32 0.3×	87 1.1×	14 0.4×	189 6.1×	52 1.7×	25	248

Countries citing papers authored by Arif Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Arif Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arif Ullah

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

19 of 19 papers shown

Ullah, Arif. (2025). From Short-Sighted to Far-Sighted: A Comparative Study of Recursive Machine Learning Approaches for Open Quantum Systems. 7(3). 209–216.

Ullah, Arif & Jeremy O. Richardson. (2025). Machine learning meets su(n) Lie algebra: Enhancing quantum dynamics learning with exact trace conservation. The Journal of Chemical Physics. 162(24).

Ullah, Arif, et al.. (2024). Molecular quantum chemical data sets and databases for machine learning potentials. Machine Learning Science and Technology. 5(4). 41001–41001. 10 indexed citations

Dral, Pavlo O., Fuchun Ge, Mario Barbatti, et al.. (2024). MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows. Journal of Chemical Theory and Computation. 20(3). 1193–1213. 35 indexed citations

Huang, Yu, et al.. (2024). Quantum state fusion via generalized measurement. Physics Letters A. 508. 129492–129492. 1 indexed citations

Ullah, Arif, et al.. (2024). Understanding The Effectiveness Of Virtual Reality In Medical Training A Prospective Observation Study.. 2(2). 175–181.

Ullah, Arif, Yu Huang, Ming Yang, & Pavlo O. Dral. (2024). Physics-informed neural networks and beyond: enforcing physical constraints in quantum dissipative dynamics. Digital Discovery. 3(10). 2052–2060. 5 indexed citations

Ullah, Arif, et al.. (2024). Advanced biomechanical analytics: Wearable technologies for precision health monitoring in sports performance. Digital Health. 10. 599900457–599900457. 17 indexed citations

Gelin, Maxim F., et al.. (2024). Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra. The Journal of Physical Chemistry Letters. 15(9). 2325–2331. 16 indexed citations

10.

Ullah, Arif, et al.. (2024). WiSigPro: Transformer for elevating CSI-based human activity recognition through attention mechanisms. Expert Systems with Applications. 258. 124976–124976. 1 indexed citations

11.

Ullah, Arif, et al.. (2023). QD3SET-1: a database with quantum dissipative dynamics datasets. Frontiers in Physics. 11. 6 indexed citations

12.

Ge, Fuchun, et al.. (2023). Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models. The Journal of Physical Chemistry Letters. 14(34). 7732–7743. 5 indexed citations

13.

Ullah, Arif & Pavlo O. Dral. (2023). MLQD: A package for machine learning-based quantum dissipative dynamics. Computer Physics Communications. 294. 108940–108940. 6 indexed citations

14.

Ullah, Arif, et al.. (2022). A comparative study of different machine learning methods for dissipative quantum dynamics. Machine Learning Science and Technology. 3(4). 45016–45016. 19 indexed citations

15.

Ullah, Arif & Pavlo O. Dral. (2022). Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics. Nature Communications. 13(1). 1930–1930. 35 indexed citations

16.

Ullah, Arif & Pavlo O. Dral. (2021). Speeding up quantum dissipative dynamics of open systems with kernel methods. New Journal of Physics. 23(11). 113019–113019. 29 indexed citations

17.

Ullah, Arif, et al.. (2020). Stochastic equation of motion approach to fermionic dissipative dynamics. I. Formalism. The Journal of Chemical Physics. 152(20). 204105–204105. 18 indexed citations

18.

Gong, Hong, et al.. (2018). Quantum entanglement of parallel-coupled double quantum dots: A theoretical study using the hierarchical equations of motion approach. Chinese Journal of Chemical Physics. 31(4). 510–516. 6 indexed citations

19.

Ullah, Arif, et al.. (2017). Monte-Carlo simulation of a stochastic differential equation. Plasma Science and Technology. 19(12). 125001–125001.

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.

Explore authors with similar magnitude of impact