Yi Du

989 total citations
13 papers, 502 citations indexed

About

Yi Du is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Yi Du has authored 13 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Information Systems. Recurrent topics in Yi Du's work include Neural Networks and Applications (7 papers), Educational Technology and Assessment (2 papers) and Multi-Criteria Decision Making (2 papers). Yi Du is often cited by papers focused on Neural Networks and Applications (7 papers), Educational Technology and Assessment (2 papers) and Multi-Criteria Decision Making (2 papers). Yi Du collaborates with scholars based in Canada, China and United States. Yi Du's co-authors include Deyi Li, R. D. Tyagi, T.R. Sreekrishnan, Rao Bhamidimarri, R.D. Tyagi, Peter G. C. Campbell, Charles Lewis, Peter J. Pashley, Jean‐Pierre Villeneuve and Kun Qin and has published in prestigious journals such as Process Biochemistry, Water Science & Technology and Journal of Environmental Engineering.

In The Last Decade

Yi Du

13 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Du Canada	6	197	153	82	56	49	13	502
Changlin Xu China	8	130 0.7×	99 0.6×	103 1.3×	59 1.1×	20 0.4×	19	367
Guo Ya-jun China	14	219 1.1×	147 1.0×	96 1.2×	19 0.3×	40 0.8×	80	671
Roselina Sallehuddin Malaysia	17	46 0.2×	267 1.7×	98 1.2×	19 0.3×	68 1.4×	69	812
Carlos J. Mantas Spain	14	137 0.7×	513 3.4×	69 0.8×	39 0.7×	67 1.4×	35	798
Ho-Nien Hsieh Taiwan	7	67 0.3×	82 0.5×	120 1.5×	22 0.4×	9 0.2×	8	424
Taoying Li China	13	67 0.3×	167 1.1×	40 0.5×	23 0.4×	81 1.7×	54	683
Nanlin Jin United Kingdom	12	46 0.2×	172 1.1×	77 0.9×	15 0.3×	40 0.8×	49	652
Usha A. Kumar India	6	63 0.3×	236 1.5×	112 1.4×	20 0.4×	36 0.7×	10	791
Owusu Nyarko‐Boateng Ghana	10	45 0.2×	123 0.8×	60 0.7×	16 0.3×	62 1.3×	25	705

Countries citing papers authored by Yi Du

Since Specialization

Citations

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

Fields of papers citing papers by Yi Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Du

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

13 of 13 papers shown

1.

Li, Bowen, et al.. (2024). PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving. 11670–11677. 1 indexed citations

2.

Liu, Zhihua, Bin Zhu, & Yi Du. (2023). Contactless fingerprint and palmprint fusion recognition based on quality assessment. 187–187. 1 indexed citations

3.

Li, Deyi & Yi Du. (2017). Artificial Intelligence with Uncertainty. 132 indexed citations

4.

Qin, Kun, et al.. (2010). Image segmentation based on data field and cloud model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7820. 78202D–78202D. 1 indexed citations

5.

Li, Deyi & Yi Du. (2007). Artificial Intelligence with Uncertainty. 302 indexed citations

6.

Du, Yi, R. D. Tyagi, & Rao Bhamidimarri. (1999). Use of fuzzy neural-net model for rule generation of activated sludge process. Process Biochemistry. 35(1-2). 77–83. 19 indexed citations

7.

Du, Yi, R.D. Tyagi, & T.R. Sreekrishnan. (1995). Operational Strategy for Metal Bioleaching Based on pH Measurements. Journal of Environmental Engineering. 121(7). 527–535. 9 indexed citations

8.

Du, Yi, T.R. Sreekrishnan, R. D. Tyagi, & Peter G. C. Campbell. (1994). Effect of pH on metal solubilization from sewage sludge: a neural-net-based approach. Canadian Journal of Civil Engineering. 21(5). 728–735. 11 indexed citations

9.

Du, Yi, Charles Lewis, & Peter J. Pashley. (1994). COMPUTERIZED MASTERY TESTING USING FUZZY SET DECISION THEORY. ETS Research Report Series. 1994(2). 181–193. 5 indexed citations

10.

Tyagi, R. D., Yi Du, T.R. Sreekrishnan, & Jean‐Pierre Villeneuve. (1993). Neural model for the operational control of activated sludge processes. Process Biochemistry. 28(4). 259–267. 4 indexed citations

11.

Du, Yi, Charles Lewis, & Peter J. Pashley. (1993). Computerized Mastery Testing Using Fuzzy Set Decision Theory. Applied Measurement in Education. 6(3). 181–193. 1 indexed citations

12.

Tyagi, R. D. & Yi Du. (1992). Operational Determination of the Activated Sludge Process Using Neural Networks. Water Science & Technology. 26(9-11). 2461–2464. 2 indexed citations

13.

Tyagi, R. D. & Yi Du. (1992). Kinetic model for the effects of heavy metals on activated sludge process using neural networks. Environmental Technology. 13(9). 883–890. 14 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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