Chieh Lin

470 total citations
9 papers, 366 citations indexed

About

Chieh Lin is a scholar working on Strategy and Management, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Chieh Lin has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Strategy and Management, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Chieh Lin's work include Public-Private Partnership Projects (5 papers), Computational Drug Discovery Methods (4 papers) and Public Procurement and Policy (3 papers). Chieh Lin is often cited by papers focused on Public-Private Partnership Projects (5 papers), Computational Drug Discovery Methods (4 papers) and Public Procurement and Policy (3 papers). Chieh Lin collaborates with scholars based in Taiwan, United States and Ireland. Chieh Lin's co-authors include Jui‐Sheng Chou, H. Ping Tserng, Yufeng Jane Tseng, Jeffrey S. Russell, Bo‐Han Su, Olivia A. Lin, S. Ping Ho, Daniel P. Sanders, Peihua Wang and Yi‐Tsu Chan and has published in prestigious journals such as Bioinformatics, Journal of Chemical Information and Modeling and Journal of Construction Engineering and Management.

In The Last Decade

Chieh Lin

9 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chieh Lin Taiwan	7	201	104	72	62	48	9	366
Milica Jovanović Serbia	10	46 0.2×	23 0.2×	75 1.0×	36 0.6×	3 0.1×	18	386
Renáta Myšková Czechia	9	92 0.5×	88 0.8×	60 0.8×	5 0.1×	12 0.3×	22	317
Munir Ahmad Pakistan	11	30 0.1×	49 0.5×	19 0.3×	4 0.1×	9 0.2×	81	405
Mila Bravo Spain	6	66 0.3×	129 1.2×	75 1.0×	9 0.1×	8 0.2×	15	294
Charles W. Chase Japan	9	28 0.1×	113 1.1×	32 0.4×	5 0.1×	12 0.3×	26	274
Ziyu Yang China	8	45 0.2×	43 0.4×	23 0.3×	8 0.1×	13 0.3×	41	229
Yazhi Song China	14	86 0.4×	27 0.3×	348 4.8×	48 0.8×	10 0.2×	33	585
Attila Tasnádi Hungary	10	69 0.3×	84 0.8×	200 2.8×	21 0.3×	6 0.1×	42	284
Nathaniel J. Mass United States	9	49 0.2×	137 1.3×	68 0.9×	15 0.2×	8 0.2×	21	275
Sebastian Klaudiusz Tomczak Poland	7	48 0.2×	39 0.4×	43 0.6×	14 0.2×	5 0.1×	17	343

Countries citing papers authored by Chieh Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chieh Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieh Lin

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

9 of 9 papers shown

1.

Lin, Chieh, Peihua Wang, Yi‐Tsu Chan, et al.. (2020). Essential Step Toward Mining Big Polymer Data: PolyName2Structure, Mapping Polymer Names to Structures. ACS Applied Polymer Materials. 2(8). 3107–3113. 6 indexed citations

2.

Lin, Chieh, et al.. (2017). An efficient computer-aided structural elucidation strategy for mixtures using an iterative dynamic programming algorithm. Journal of Cheminformatics. 9(1). 57–57. 3 indexed citations

3.

Su, Bo‐Han, et al.. (2015). CypRules: a rule-based P450 inhibition prediction server. Bioinformatics. 31(11). 1869–1871. 36 indexed citations

4.

Su, Bo‐Han, et al.. (2015). Rule-Based Prediction Models of Cytochrome P450 Inhibition. Journal of Chemical Information and Modeling. 55(7). 1426–1434. 28 indexed citations

5.

Ho, S. Ping, et al.. (2014). PROACTIVE MEASURES OF GOVERNMENTAL DEBT GUARANTEES TO FACILITATE PUBLIC-PRIVATE PARTNERSHIPS PROJECT. Journal of Civil Engineering and Management. 20(4). 548–560. 20 indexed citations

6.

Chou, Jui‐Sheng, et al.. (2014). Strategic governance for modeling institutional framework of public–private partnerships. Cities. 42. 204–211. 23 indexed citations

7.

Chou, Jui‐Sheng, et al.. (2012). Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects. Transport Policy. 22. 36–48. 128 indexed citations

8.

Chou, Jui‐Sheng & Chieh Lin. (2012). Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models. Journal of Computing in Civil Engineering. 27(1). 51–60. 75 indexed citations

9.

Tserng, H. Ping, et al.. (2011). Analyzing the Role of National PPP Units in Promoting PPPs: Using New Institutional Economics and a Case Study. Journal of Construction Engineering and Management. 138(2). 242–249. 47 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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