Munan Li

585 total citations
26 papers, 445 citations indexed

About

Munan Li is a scholar working on Artificial Intelligence, Management Science and Operations Research and Management of Technology and Innovation. According to data from OpenAlex, Munan Li has authored 26 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Management of Technology and Innovation. Recurrent topics in Munan Li's work include Innovation Diffusion and Forecasting (6 papers), Complex Network Analysis Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Munan Li is often cited by papers focused on Innovation Diffusion and Forecasting (6 papers), Complex Network Analysis Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Munan Li collaborates with scholars based in China, United States and Finland. Munan Li's co-authors include Alan L. Porter, Arho Suominen, Zhong Lin Wang, Yuan Zhou, Serhat Burmaoğlu, Hu Yang, Zeyu Wu, Yuyang Wang, Stephen Carley and Siyu Sun and has published in prestigious journals such as Nano Energy, Technological Forecasting and Social Change and Separation and Purification Technology.

In The Last Decade

Munan Li

26 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Munan Li China 12 66 65 60 56 56 26 445
Jieun Kim South Korea 14 40 0.6× 101 1.6× 69 1.1× 66 1.2× 96 1.7× 27 552
Rosa María Río Belver Spain 13 55 0.8× 92 1.4× 25 0.4× 50 0.9× 40 0.7× 47 467
Jaehun Lee South Korea 8 34 0.5× 87 1.3× 36 0.6× 64 1.1× 76 1.4× 13 384
Hannes Toivanen Finland 9 96 1.5× 72 1.1× 40 0.7× 105 1.9× 37 0.7× 19 389
Keeheon Lee South Korea 10 26 0.4× 51 0.8× 87 1.4× 31 0.6× 59 1.1× 19 465
Christopher Prinz Germany 13 81 1.2× 46 0.7× 25 0.4× 44 0.8× 35 0.6× 45 740
Jinfeng Wang China 17 66 1.0× 140 2.2× 43 0.7× 96 1.7× 53 0.9× 71 705
Nor Aziati Abdul Hamid Malaysia 14 34 0.5× 107 1.6× 80 1.3× 27 0.5× 42 0.8× 95 687
Ruey‐Shan Guo Taiwan 11 37 0.6× 142 2.2× 19 0.3× 38 0.7× 42 0.8× 46 481
Miguel Alfaro Chile 14 86 1.3× 155 2.4× 90 1.5× 61 1.1× 50 0.9× 52 636

Countries citing papers authored by Munan Li

Since Specialization
Citations

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

Fields of papers citing papers by Munan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Munan Li. A scholar is included among the top collaborators of Munan 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 Munan Li. Munan Li 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.
Wang, Yuyang, Munan Li, & Hu Yang. (2025). A review on mitigation of pressure-driven membrane fouling by coagulation/flocculation as a pretreatment in membrane separation processes. Separation and Purification Technology. 364. 132370–132370. 10 indexed citations
2.
Li, Munan, et al.. (2024). An exploration method for technology forecasting that combines link prediction with graph embedding: A case study on blockchain. Technological Forecasting and Social Change. 208. 123736–123736. 3 indexed citations
3.
Li, Munan & Liang Wang. (2024). Leveraging patent classification based on deep learning: The case study on smart cities and industrial Internet of Things. Journal of Informetrics. 19(1). 101616–101616. 2 indexed citations
4.
Sun, Siyu, et al.. (2024). Immobilized photocatalysts with varied macroscopical supports of different morphologies: A review. Journal of environmental chemical engineering. 12(5). 113636–113636. 7 indexed citations
5.
Li, Munan, et al.. (2023). Exploiting the potential of a directional changes-based trading algorithm in the stock market. Finance research letters. 60. 104936–104936. 1 indexed citations
6.
Li, Munan, Alan L. Porter, Arho Suominen, Serhat Burmaoğlu, & Stephen Carley. (2021). An exploratory perspective to measure the emergence degree for a specific technology based on the philosophy of swarm intelligence. Technological Forecasting and Social Change. 166. 120621–120621. 8 indexed citations
7.
Li, Munan, et al.. (2020). Does Firm's Value Matter With Firm's Patent Quality in Technology-Intensive Industries?. IEEE Transactions on Engineering Management. 70(4). 1587–1604. 17 indexed citations
8.
Burmaoğlu, Serhat, et al.. (2019). Analysing the theoretical roots of technology emergence: an evolutionary perspective. Scientometrics. 119(1). 97–118. 15 indexed citations
9.
Li, Munan. (2019). Capturing the Risk Signals for a Specific Emerging Technology: An Integrated Framework of Text Mining. IEEE Transactions on Engineering Management. 68(5). 1245–1258. 3 indexed citations
10.
Li, Munan. (2019). Visualizing the studies on smart cities in the past two decades: a two-dimensional perspective. Scientometrics. 120(2). 683–705. 18 indexed citations
11.
Li, Munan & Alan L. Porter. (2019). Can nanogenerators contribute to the global greening data centres?. Nano Energy. 60. 235–246. 10 indexed citations
12.
Li, Munan, Alan L. Porter, & Arho Suominen. (2017). Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective. Technological Forecasting and Social Change. 129. 285–296. 98 indexed citations
13.
Li, Munan, Alan L. Porter, & Zhong Lin Wang. (2017). Evolutionary trend analysis of nanogenerator research based on a novel perspective of phased bibliographic coupling. Nano Energy. 34. 93–102. 84 indexed citations
14.
Li, Munan & Alan L. Porter. (2017). Facilitating the discovery of relevant studies on risk analysis for three-dimensional printing based on an integrated framework. Scientometrics. 114(1). 277–300. 8 indexed citations
15.
Li, Munan, et al.. (2016). Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis. Journal of Information Science. 43(6). 725–741. 38 indexed citations
16.
17.
Li, Munan. (2016). An exploration to visualise the emerging trends of technology foresight based on an improved technique of co-word analysis and relevant literature data of WOS. Technology Analysis and Strategic Management. 29(6). 655–671. 17 indexed citations
18.
Li, Munan. (2015). Efficiency improvement of ant colony optimization in solving the moderate LTSP. Journal of Systems Engineering and Electronics. 26(6). 1300–1308. 14 indexed citations
19.
Li, Munan, et al.. (2014). Modeling and Description of Organization-Oriented Architecture. Journal of Software. 9(4). 2 indexed citations
20.
Li, Munan, et al.. (2012). A Novel Method of Model Composite in Decision Support System. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 4(15). 317–324. 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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