Bikai Nie

514 total citations
11 papers, 295 citations indexed

About

Bikai Nie is a scholar working on Education, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Bikai Nie has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 4 papers in Statistics and Probability and 2 papers in Computer Networks and Communications. Recurrent topics in Bikai Nie's work include Mathematics Education and Teaching Techniques (9 papers), Education and Critical Thinking Development (3 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Bikai Nie is often cited by papers focused on Mathematics Education and Teaching Techniques (9 papers), Education and Critical Thinking Development (3 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Bikai Nie collaborates with scholars based in United States. Bikai Nie's co-authors include Jinfa Cai, John C. Moyer, Stephen Hwang, Ning Wang, Wang Ning, Chuang Wang, Ning Wang and Victoria Robison and has published in prestigious journals such as Educational Studies in Mathematics, International Journal of Educational Research and ZDM.

In The Last Decade

Bikai Nie

11 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bikai Nie United States 7 265 97 78 55 24 11 295
Aaron Weinberg United States 10 276 1.0× 148 1.5× 85 1.1× 27 0.5× 23 1.0× 18 341
Erhan Bingölbali Türkiye 9 286 1.1× 104 1.1× 50 0.6× 46 0.8× 11 0.5× 23 321
Jessica Pierson Bishop United States 10 363 1.4× 193 2.0× 94 1.2× 63 1.1× 32 1.3× 28 405
Joanna Mαμονα-Dοwns Greece 8 322 1.2× 153 1.6× 92 1.2× 56 1.0× 51 2.1× 18 371
Kwaku Adu‐Gyamfi United States 10 282 1.1× 126 1.3× 67 0.9× 86 1.6× 17 0.7× 17 304
Margaret Kinzel United States 8 254 1.0× 105 1.1× 68 0.9× 29 0.5× 8 0.3× 19 286
Işıl Işler Türkiye 10 352 1.3× 241 2.5× 115 1.5× 75 1.4× 10 0.4× 19 405
Björn Schwarz Germany 8 214 0.8× 58 0.6× 52 0.7× 31 0.6× 19 0.8× 14 249
Jesper Boesen Sweden 8 314 1.2× 141 1.5× 54 0.7× 50 0.9× 34 1.4× 16 341
Vicky L. Kouba United States 10 320 1.2× 222 2.3× 107 1.4× 43 0.8× 27 1.1× 17 374

Countries citing papers authored by Bikai Nie

Since Specialization
Citations

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

Fields of papers citing papers by Bikai Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bikai Nie

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

All Works

11 of 11 papers shown
1.
Cai, Jinfa, John C. Moyer, Chuang Wang, Ning Wang, & Bikai Nie. (2024). Student learning and instructional tasks in different curricular contexts: A longitudinal study. International Journal of Educational Research. 125. 102329–102329. 1 indexed citations
2.
Cai, Jinfa, et al.. (2014). Problem-Solving Strategies as a Measure of Longitudinal Curricular Effects on Student Learning.. Proceedings of the ... PME Conference. 1 indexed citations
4.
Cai, Jinfa, et al.. (2012). Mathematical problem posing as a measure of curricular effect on students' learning. Educational Studies in Mathematics. 83(1). 57–69. 98 indexed citations
5.
Cai, Jinfa, Victoria Robison, John C. Moyer, Wang Ning, & Bikai Nie. (2012). Mathematical Dispositions and Student Learning: A Metaphorical Analysis. e-Publications@Marquette (Marquette University). 5 indexed citations
6.
Cai, Jinfa, Wang Ning, John C. Moyer, Chuang Wang, & Bikai Nie. (2011). Longitudinal investigation of the curricular effect: An analysis of student learning outcomes from the LieCal Project in the United States. International Journal of Educational Research. 50(2). 117–136. 26 indexed citations
7.
Moyer, John C., Jinfa Cai, Ning Wang, & Bikai Nie. (2011). Impact of curriculum reform: Evidence of change in classroom practice in the United States. International Journal of Educational Research. 50(2). 87–99. 10 indexed citations
8.
Cai, Jinfa, Bikai Nie, & John C. Moyer. (2010). The teaching of equation solving: approaches inStandards-based and traditional curricula in the United States. Pedagogies An International Journal. 5(3). 170–186. 25 indexed citations
9.
10.
Cai, Jinfa, John C. Moyer, Bikai Nie, & Ning Wang. (2009). Learning mathematics from Classroom Instruction Using Standards-based and Traditional Curricula: An Analysis of Instructional Tasks. 1–8. 5 indexed citations
11.
Cai, Jinfa & Bikai Nie. (2007). Problem solving in Chinese mathematics education: research and practice. ZDM. 39(5-6). 459–473. 89 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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