Frank Xing

2.1k citations

32 papers · 1.4k indexed · 2 hit papers · h-index 13

Impact in

Management Science and Operations Research top 1%
- Stock Market Forecasting Methods
Artificial Intelligence top 1%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies

Papers in

Management Science and Operations Research 18
- Stock Market Forecasting Methods 18
Finance 6
- Financial Markets and Investment Strategies 5

Co-authors: Erik Cambria Roy E. Welsch Soujanya Poria Kenneth KwokYang LiYukun Ma Yue Zhang Lorenzo Malandri
Journals: Information Processing & Management (3 papers)Knowledge-Based Systems (2 papers)Cognitive Computation (2 papers)Information Fusion (2 papers)ACM Transactions on Management Information Systems (2 papers)
Partner nations: Singapore China United States

In The Last Decade

Frank Xing

32 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis 2020 · 351 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
2017 Artificial Intelligence Review

Peers

Countries citing papers authored by Frank Xing

Since Specialization

Citations

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

Fields of papers citing papers by Frank Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Frank Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Xing Line = papers co-authored together Frank Xing links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Happiness Prediction With Domain Knowledge Integration and Explanation Consistency IEEE Transactions on Computational Social Systems ·O. Stocker, Lin Li, Xiaohui Tao, Frank Xing, Jingling Yuan	2025	1
2	AI reshaping financial modeling CentAUR (University of Reading) ·Frank Xing, J. Todd Rosier, Gianmarco Mengaldo, Erik Cambria, Roy E. Welsch	2025	1
3	A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis IEEE Intelligent Systems ·J. Todd Rosier, Katrin Sze Yee Koh, Rui Mao, Frank Xing, Erik Cambria	2025	2
4	Natural language processing in finance: A survey Information Fusion ·J. Todd Rosier, Yuanyuan Zhao, Rui Mao, Frank Xing, Erik Cambria	2024	12
5	Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods Cognitive Computation ·K Levandovski, Lorenzo Malandri, L. J. Mullins, Young-Min Choi, Frank Xing	2024	8
6	Financial Sentiment Analysis: Techniques and Applications ACM Computing Surveys ·J. Todd Rosier, Frank Xing, Rui Mao, Erik Cambria	2024	49
7	A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction J. Todd Rosier, Rui Mao, Frank Xing, Erik Cambria	2024	4
8	An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis J. Todd Rosier, Frank Xing, Rui Mao, Erik Cambria	2024	9
9	Explainable Stock Price Movement Prediction using Contrastive Learning J. Todd Rosier, Rui Mao, Frank Xing, Erik Cambria	2024	8
10	Designing Heterogeneous LLM Agents for Financial Sentiment Analysis ACM Transactions on Management Information Systems ·Frank Xing	2024	26
11	Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents Proceedings of the AAAI Conference on Artificial Intelligence ·Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria	2022	34
12	Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets National University of Singapore ·Frank Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria	2020	42
13	A survey on empathetic dialogue systems Information Fusion ·Yukun Ma, A. Ajinou, Frank Xing, Erik Cambria	2020	147
14	SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis Erik Cambria, Yang Li, Frank Xing, Soujanya Poria, Kenneth Kwok Hit paper breakdown →	2020	351
15	Business Taxonomy Construction Using Concept-Level Hierarchical Clustering RePEc: Research Papers in Economics ·Локалов Ю. А., Frank Xing, Erik Cambria, Win-Bin Huang	2019	1
16	Intelligent Asset Allocation via Market Sentiment Views IEEE Computational Intelligence Magazine ·Frank Xing, Erik Cambria, Roy E. Welsch	2018	98
17	Natural language based financial forecasting: a survey Artificial Intelligence Review ·Frank Xing, Erik Cambria, Roy E. Welsch Hit paper breakdown →	2017	268
18	A Historical Review of Forty Years of Research on CMAC arXiv (Cornell University) ·Frank Xing	2017	2
19	Predicting evolving chaotic time series with fuzzy neural networks Frank Xing, Erik Cambria, Sarah Hall	2017	13
20	Weakly supervised semantic segmentation with superpixel embedding Frank Xing, Erik Cambria, Win-Bin Huang, Yang Xu	2016	11

About Frank Xing

Frank Xing is a scholar working on Management Science and Operations Research, Finance, Artificial Intelligence, Signal Processing and Economics and Econometrics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (18 papers), Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (9 papers), Topic Modeling (8 papers), Financial Markets and Investment Strategies (5 papers), Time Series Analysis and Forecasting (5 papers), Complex Systems and Time Series Analysis (5 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Management Science and Operations Research (474 citations), Artificial Intelligence (911 citations), Finance (197 citations), Experimental and Cognitive Psychology (99 citations) and General Social Sciences (20 citations). Frank Xing has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Erik Cambria, Roy E. Welsch, Soujanya Poria, Kenneth Kwok, Yang Li, Yukun Ma, Yue Zhang, Lorenzo Malandri, Rui Mao and Carlotta Orsenigo. Their work appears in journals such as Information Processing & Management, Knowledge-Based Systems, Cognitive Computation, Information Fusion and ACM Transactions on Management Information Systems.

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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