Brian Li

974 total citations · 1 hit paper
7 papers, 590 citations indexed

About

Brian Li is a scholar working on Information Systems and Management, Social Psychology and Pollution. According to data from OpenAlex, Brian Li has authored 7 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems and Management, 1 paper in Social Psychology and 1 paper in Pollution. Recurrent topics in Brian Li's work include Technology Adoption and User Behaviour (2 papers), Wastewater Treatment and Nitrogen Removal (1 paper) and Impact of AI and Big Data on Business and Society (1 paper). Brian Li is often cited by papers focused on Technology Adoption and User Behaviour (2 papers), Wastewater Treatment and Nitrogen Removal (1 paper) and Impact of AI and Big Data on Business and Society (1 paper). Brian Li collaborates with scholars based in United States and Poland. Brian Li's co-authors include Jay N. Meegoda, Lei Wang, Jitendra A. Kewalramani, Robert E. Llaneras, Charles Green, Samuel Rodríguez, Lijin Zhang, Ahtziri Fonseca, Thomas J. Caruso and Ellen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Journal of Clinical Anesthesia.

In The Last Decade

Brian Li

6 papers receiving 574 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 Review of the Processes, Parameters, and Optimization of Anaerobic Digestion

2018 416 citations Jay N. Meegoda, Brian Li et al. International Journal of Environmental Research and Public Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Li United States	5	285	161	159	108	102	7	590
Qiuju Gao Sweden	12	65 0.2×	203 1.3×	34 0.2×	37 0.3×	69 0.7×	18	582
Xuan Jia China	19	244 0.9×	138 0.9×	17 0.1×	73 0.7×	52 0.5×	43	712
Zhiyi Deng China	11	116 0.4×	91 0.6×	35 0.2×	112 1.0×	61 0.6×	34	403
Éva Ujaczki Hungary	13	185 0.6×	66 0.4×	114 0.7×	85 0.8×	31 0.3×	18	771
Sophia Ghanimeh Lebanon	14	236 0.8×	95 0.6×	22 0.1×	165 1.5×	52 0.5×	38	552
Sofiya N. Parshina Russia	18	463 1.6×	245 1.5×	252 1.6×	94 0.9×	34 0.3×	29	996
Lianxue Wei China	8	112 0.4×	66 0.4×	55 0.3×	125 1.2×	37 0.4×	10	445
Chonghua Xue China	10	118 0.4×	171 1.1×	41 0.3×	176 1.6×	104 1.0×	16	675
M. Krzemieniewski Poland	16	139 0.5×	112 0.7×	36 0.2×	147 1.4×	75 0.7×	82	597

Countries citing papers authored by Brian Li

Since Specialization

Citations

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

Fields of papers citing papers by Brian Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Li

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

7 of 7 papers shown

1.

Wang, Ellen, et al.. (2024). A technology acceptance model to predict anesthesiologists' clinical adoption of virtual reality. Journal of Clinical Anesthesia. 98. 111595–111595. 2 indexed citations

2.

Wang, Ellen, et al.. (2024). Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study. JMIR Medical Education. 10. e60767–e60767. 6 indexed citations

3.

Fonseca, Ahtziri, Brian Li, Charles Lee, et al.. (2024). Reducing Preoperative Caregiver Anxiety With Virtual Reality: A Pragmatic, Randomized Controlled Study. Journal of Patient Experience. 11. 672729566–672729566. 6 indexed citations

4.

Li, Brian, et al.. (2020). Rethinking Figurative Language in the Rhetoric of Healthcare Allocation. SHILAP Revista de lepidopterología.

5.

Meegoda, Jay N., et al.. (2020). A Review of the Applications, Environmental Release, and Remediation Technologies of Per- and Polyfluoroalkyl Substances. International Journal of Environmental Research and Public Health. 17(21). 8117–8117. 154 indexed citations

6.

Meegoda, Jay N., et al.. (2018). A Review of the Processes, Parameters, and Optimization of Anaerobic Digestion. International Journal of Environmental Research and Public Health. 15(10). 2224–2224. 416 indexed citations breakdown →

7.

Llaneras, Robert E., et al.. (2011). Issues Related to the Use and Design of a Backing Rear Cross Traffic Alert System. SAE International Journal of Passenger Cars - Mechanical Systems. 4(1). 462–466. 6 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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