Feng Shang

749 total citations
40 papers, 577 citations indexed

About

Feng Shang is a scholar working on Civil and Structural Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Feng Shang has authored 40 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 18 papers in Health, Toxicology and Mutagenesis and 15 papers in Environmental Engineering. Recurrent topics in Feng Shang's work include Water Systems and Optimization (24 papers), Water Treatment and Disinfection (18 papers) and Groundwater flow and contamination studies (9 papers). Feng Shang is often cited by papers focused on Water Systems and Optimization (24 papers), Water Treatment and Disinfection (18 papers) and Groundwater flow and contamination studies (9 papers). Feng Shang collaborates with scholars based in United States, China and Ghana. Feng Shang's co-authors include James G. Uber, Marios M. Polycarpou, Lewis A. Rossman, Robert Janke, Regan Murray, Dominic L. Boccelli, Bart G. van Bloemen Waanders, Zhong Wang, Jonathan B. Burkhardt and M. Brdyś and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and IEEE Access.

In The Last Decade

Feng Shang

37 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Shang United States 11 439 288 195 153 106 40 577
Robert Janke United States 15 493 1.1× 304 1.1× 246 1.3× 162 1.1× 154 1.5× 38 647
Olivier Piller France 16 560 1.3× 159 0.6× 233 1.2× 197 1.3× 197 1.9× 53 740
Velitchko Tzatchkov Mexico 15 624 1.4× 150 0.5× 229 1.2× 219 1.4× 287 2.7× 56 754
Agathoklis Agathokleous Cyprus 10 282 0.6× 68 0.2× 95 0.5× 67 0.4× 99 0.9× 15 343
Joaquim Sousa Portugal 14 797 1.8× 191 0.7× 293 1.5× 186 1.2× 358 3.4× 30 900
Gustavo Meirelles Brazil 15 465 1.1× 51 0.2× 129 0.7× 221 1.4× 183 1.7× 50 671
T. Devi Prasad United Kingdom 13 943 2.1× 252 0.9× 293 1.5× 217 1.4× 483 4.6× 24 1.1k
Kathleen Fowler United States 11 127 0.3× 83 0.3× 142 0.7× 44 0.3× 154 1.5× 30 545
Jochen Deuerlein Australia 14 589 1.3× 88 0.3× 179 0.9× 143 0.9× 185 1.7× 45 668
Gerard Sanz Spain 10 427 1.0× 137 0.5× 97 0.5× 144 0.9× 111 1.0× 19 459

Countries citing papers authored by Feng Shang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shang. A scholar is included among the top collaborators of Feng Shang 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 Feng Shang. Feng Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Shang, Feng, et al.. (2024). Integrative Graph-Based Framework for Predicting circRNA Drug Resistance Using Disease Contextualization and Deep Learning. IEEE Journal of Biomedical and Health Informatics. 29(11). 7932–7944. 5 indexed citations
3.
Burkhardt, Jonathan B., et al.. (2023). Pressure dependent analysis in premise plumbing system modeling. AWWA Water Science. 5(3). 6 indexed citations
4.
Shang, Feng, Jonathan B. Burkhardt, & Regan Murray. (2023). Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow. Journal of Hydraulic Engineering. 149(7). 1–9. 3 indexed citations
5.
Shang, Feng, et al.. (2022). 5G Millimeter Wave Endfire Array Antenna with Printed Inverted-F Structure. SHILAP Revista de lepidopterología. 2022. 1–11. 4 indexed citations
6.
Shang, Feng, et al.. (2022). Design of multi-patch planar filtering antenna. 1–2.
7.
Hu, Kanghong, et al.. (2021). Lane Line Extraction in Raining Weather Images by Ridge Edge Detection with Improved MSR and Hessian Matrix. Information Technology And Control. 50(4). 722–735. 2 indexed citations
8.
Shang, Feng, et al.. (2021). Lagrangian Method to Model Advection-Dispersion-Reaction Transport in Drinking Water Pipe Networks. Journal of Water Resources Planning and Management. 147(9). 8 indexed citations
9.
Zhang, Lin, et al.. (2020). A Noncommunicative Memory-Pushing Fuzzy Control Strategy for Sensorless Multirobot Systems. Complexity. 2020. 1–15. 1 indexed citations
10.
Shang, Feng, et al.. (2020). An EEG Feature Extraction Method Based on Sparse Dictionary Self-Organizing Map for Event-Related Potential Recognition. Algorithms. 13(10). 259–259. 1 indexed citations
11.
Fisher, Ian, George Kastl, Feng Shang, & Arumugam Sathasivan. (2018). Framework for Optimizing Chlorine and Byproduct Concentrations in Drinking Water Distribution Systems. American Water Works Association. 110(11). 38–49. 6 indexed citations
12.
Shang, Feng, James G. Uber, Regan Murray, & Robert Janke. (2009). Model-Based Real-Time Detection of Contamination Events. 24. 1–5. 7 indexed citations
13.
Uber, James G., et al.. (2009). Real-Time Implementation of Contamination Source Identification Method for Water Distribution Systems. World Environmental and Water Resources Congress 2009. 129. 1–10. 1 indexed citations
14.
Shang, Feng, et al.. (2009). Real-Time Identification of Possible Contamination Sources Using Network Backtracking Methods. Journal of Water Resources Planning and Management. 136(4). 444–453. 66 indexed citations
15.
Shang, Feng, et al.. (2008). Determining Possible Contaminant Sources through Flow Path Analysis. 1–12. 15 indexed citations
16.
Shang, Feng & James G. Uber. (2007). Calibrating Pipe Wall Demand Coefficient for Chlorine Decay in Water Distribution System. Journal of Water Resources Planning and Management. 133(4). 363–371. 8 indexed citations
17.
Shang, Feng. (2005). PATH-DEPENDENT APPROACH TO ESTIMATE CHLORINE WALL DEMAND COEFFICIENT IN WATER DISTRIBUTION SYSTEM. OhioLink ETD Center (Ohio Library and Information Network). 3 indexed citations
18.
Wang, Zhong, Marios M. Polycarpou, James G. Uber, & Feng Shang. (2005). Adaptive control of water quality in water distribution networks. IEEE Transactions on Control Systems Technology. 14(1). 149–156. 32 indexed citations
19.
Shang, Feng, James G. Uber, & Marios M. Polycarpou. (2002). Particle Backtracking Algorithm for Water Distribution System Analysis. Journal of Environmental Engineering. 128(5). 441–450. 105 indexed citations
20.
Propato, Marco, James G. Uber, Feng Shang, & Marios M. Polycarpou. (2001). Integrated Control and Booster System Design for Residual Maintenance in Water Distribution Systems. 1–10. 5 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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